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ORCIDAlan Fern
Alan Paul Fern
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- affiliation: Oregon State University, School of Electrical Engineering and Computer Science, Corvallis, OR, US
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2020 – today
- 2024
[j40]Alan Fern
, Margaret Burnett, Joseph R. Davidson, Janardhan Rao Doppa, Paola Pesántez-Cabrera, Ananth Kalyanaraman:
AgAID Institute - AI for agricultural labor and decision support. AI Mag. 45(1): 99-104 (2024)- [c151]Rupasree Dey, Alan Fern:
Data-Driven Structural Fire Risk Prediction for City Properties. AAAI 2024: 22885-22891 - [c150]Krishu K. Thapa, Bhupinderjeet Singh, Supriya Savalkar, Alan Fern, Kirti Rajagopalan, Ananth Kalyanaraman:
Attention-Based Models for Snow-Water Equivalent Prediction. AAAI 2024: 22969-22975 - [c149]Helei Duan, Bikram Pandit, Mohitvishnu S. Gadde, Bart van Marum, Jeremy Dao, Chanho Kim, Alan Fern:
Learning Vision-Based Bipedal Locomotion for Challenging Terrain. ICRA 2024: 56-62 - [c148]Jeremy Dao, Helei Duan, Alan Fern:
Sim-to-Real Learning for Humanoid Box Loco-Manipulation. ICRA 2024: 16930-16936 - [i54]Bart van Marum, Aayam Shrestha, Helei Duan, Pranay Dugar, Jeremy Dao, Alan Fern:
Revisiting Reward Design and Evaluation for Robust Humanoid Standing and Walking. CoRR abs/2404.19173 (2024) - [i53]Bikram Pandit, Ashutosh Gupta, Mohitvishnu S. Gadde, Addison Johnson, Aayam Kumar Shrestha, Helei Duan, Jeremy Dao, Alan Fern:
Learning Decentralized Multi-Biped Control for Payload Transport. CoRR abs/2406.17279 (2024) - [i52]Pranay Dugar, Aayam Shrestha, Fangzhou Yu, Bart van Marum, Alan Fern:
Learning Multi-Modal Whole-Body Control for Real-World Humanoid Robots. CoRR abs/2408.07295 (2024) - 2023
- [c147]Aseem Saxena, Paola Pesantez-Cabrera, Rohan Ballapragada, Kin-Ho Lam, Markus Keller, Alan Fern:
Grape Cold Hardiness Prediction via Multi-Task Learning. AAAI 2023: 15717-15723 - [c146]Devin Crowley, Jeremy Dao, Helei Duan, Kevin Green, Jonathan W. Hurst, Alan Fern:
Optimizing Bipedal Locomotion for The 100m Dash With Comparison to Human Running. ICRA 2023: 12205-12211 - [i51]Aseem Saxena, Paola Pesantez-Cabrera, Rohan Ballapragada, Markus Keller, Alan Fern:
Multi-Task Learning for Budbreak Prediction. CoRR abs/2301.01815 (2023) - [i50]Helei Duan, Bikram Pandit, Mohitvishnu S. Gadde, Bart Jaap van Marum, Jeremy Dao, Chanho Kim, Alan Fern:
Learning Vision-Based Bipedal Locomotion for Challenging Terrain. CoRR abs/2309.14594 (2023) - [i49]Jeremy Dao, Helei Duan, Alan Fern:
Sim-to-Real Learning for Humanoid Box Loco-Manipulation. CoRR abs/2310.03191 (2023) - [i48]Krishu K. Thapa, Bhupinderjeet Singh, Supriya Savalkar, Alan Fern, Kirti Rajagopalan, Ananth Kalyanaraman:
Attention-based Models for Snow-Water Equivalent Prediction. CoRR abs/2311.03388 (2023) - 2022
- [j39]Ananth Kalyanaraman, Margaret Burnett, Alan Fern, Lav R. Khot, Joshua Viers:
Special report: The AgAID AI institute for transforming workforce and decision support in agriculture. Comput. Electron. Agric. 197: 106944 (2022) - [j38]Si Liu, Risheek Garrepalli, Dan Hendrycks, Alan Fern, Debashis Mondal, Thomas G. Dietterich:
PAC Guarantees and Effective Algorithms for Detecting Novel Categories. J. Mach. Learn. Res. 23: 44:1-44:47 (2022) - [j37]Roli Khanna, Jonathan Dodge, Andrew Anderson, Rupika Dikkala, Jed Irvine, Zeyad Shureih, Kin-Ho Lam, Caleb R. Matthews, Zhengxian Lin, Minsuk Kahng, Alan Fern, Margaret Burnett:
Finding AI's Faults with AAR/AI: An Empirical Study. ACM Trans. Interact. Intell. Syst. 12(1): 1:1-1:33 (2022) - [c145]Kin-Ho Lam, Delyar Tabatabai, Jed Irvine, Donald Bertucci, Anita Ruangrotsakun, Minsuk Kahng, Alan Fern:
Beyond Value: CheckList for Testing Inferences in Planning-Based RL. ICAPS 2022: 606-614 - [c144]Ryan Batke, Fangzhou Yu, Jeremy Dao, Jonathan W. Hurst, Ross L. Hatton, Alan Fern, Kevin Green:
Optimizing Bipedal Maneuvers of Single Rigid-Body Models for Reinforcement Learning. Humanoids 2022: 714-721 - [c143]Fangzhou Yu, Ryan Batke, Jeremy Dao, Jonathan W. Hurst, Kevin Green, Alan Fern:
Dynamic Bipedal Turning through Sim-to-Real Reinforcement Learning. Humanoids 2022: 903-910 - [c142]Helei Duan, Ashish Malik, Jeremy Dao, Aseem Saxena, Kevin Green, Jonah Siekmann, Alan Fern, Jonathan W. Hurst:
Sim-to-Real Learning of Footstep-Constrained Bipedal Dynamic Walking. ICRA 2022: 10428-10434 - [c141]Jeremy Dao, Kevin Green, Helei Duan, Alan Fern, Jonathan W. Hurst:
Sim-to-Real Learning for Bipedal Locomotion Under Unsensed Dynamic Loads. ICRA 2022: 10449-10455 - [c140]Helei Duan, Ashish Malik, Mohitvishnu S. Gadde, Jeremy Dao, Alan Fern, Jonathan W. Hurst:
Learning Dynamic Bipedal Walking Across Stepping Stones. IROS 2022: 6746-6752 - [i47]Helei Duan, Ashish Malik, Jeremy Dao, Aseem Saxena, Kevin Green, Jonah Siekmann, Alan Fern, Jonathan W. Hurst:
Sim-to-Real Learning of Footstep-Constrained Bipedal Dynamic Walking. CoRR abs/2203.07589 (2022) - [i46]Jeremy Dao, Kevin Green, Helei Duan, Alan Fern, Jonathan W. Hurst:
Sim-to-Real Learning for Bipedal Locomotion Under Unsensed Dynamic Loads. CoRR abs/2204.04340 (2022) - [i45]Helei Duan, Ashish Malik, Mohitvishnu S. Gadde, Jeremy Dao, Alan Fern, Jonathan W. Hurst:
Learning Dynamic Bipedal Walking Across Stepping Stones. CoRR abs/2205.01807 (2022) - [i44]Anurag Koul, Mariano Phielipp, Alan Fern:
Offline Policy Comparison with Confidence: Benchmarks and Baselines. CoRR abs/2205.10739 (2022) - [i43]Kin-Ho Lam, Delyar Tabatabai, Jed Irvine, Donald Bertucci, Anita Ruangrotsakun, Minsuk Kahng, Alan Fern:
Beyond Value: CHECKLIST for Testing Inferences in Planning-Based RL. CoRR abs/2206.02039 (2022) - [i42]Ryan Batke, Fangzhou Yu, Jeremy Dao, Jonathan W. Hurst, Ross L. Hatton, Alan Fern, Kevin Green:
Optimizing Bipedal Maneuvers of Single Rigid-Body Models for Reinforcement Learning. CoRR abs/2207.04163 (2022) - [i41]Fangzhou Yu, Ryan Batke, Jeremy Dao, Jonathan W. Hurst, Kevin Green, Alan Fern:
Dynamic Bipedal Maneuvers through Sim-to-Real Reinforcement Learning. CoRR abs/2207.07835 (2022) - [i40]Aseem Saxena, Paola Pesantez-Cabrera, Rohan Ballapragada, Kin-Ho Lam, Markus Keller, Alan Fern:
Grape Cold Hardiness Prediction via Multi-Task Learning. CoRR abs/2209.10585 (2022) - [i39]Risheek Garrepalli, Alan Fern, Thomas G. Dietterich:
Oracle Analysis of Representations for Deep Open Set Detection. CoRR abs/2209.11350 (2022) - 2021
- [j36]Erich Merrill, Alan Fern, Xiaoli Z. Fern, Nima Dolatnia:
An Empirical Study of Bayesian Optimization: Acquisition Versus Partition. J. Mach. Learn. Res. 22: 4:1-4:25 (2021) - [j35]Kevin Green, Yesh Godse, Jeremy Dao, Ross L. Hatton, Alan Fern, Jonathan W. Hurst:
Learning Spring Mass Locomotion: Guiding Policies With a Reduced-Order Model. IEEE Robotics Autom. Lett. 6(2): 3926-3932 (2021) - [j34]Jonathan Dodge, Roli Khanna, Jed Irvine, Kin-Ho Lam, Theresa Mai, Zhengxian Lin, Nicholas Kiddle, Evan Newman, Andrew Anderson, Sai Raja, Caleb R. Matthews, Christopher Perdriau, Margaret Burnett, Alan Fern:
After-Action Review for AI (AAR/AI). ACM Trans. Interact. Intell. Syst. 11(3-4): 29:1-29:35 (2021) - [c139]Hoang Le, Justine E. Hoch, Ori Ossmy, Karen E. Adolph, Xiaoli Z. Fern, Alan Fern:
Modeling Infant Free Play Using Hidden Markov Models. ICDL 2021: 1-6 - [c138]Zhengxian Lin, Kin-Ho Lam, Alan Fern:
Contrastive Explanations for Reinforcement Learning via Embedded Self Predictions. ICLR 2021 - [c137]Aayam Kumar Shrestha, Stefan Lee, Prasad Tadepalli, Alan Fern:
DeepAveragers: Offline Reinforcement Learning By Solving Derived Non-Parametric MDPs. ICLR 2021 - [c136]Mohamad H. Danesh, Anurag Koul, Alan Fern, Saeed Khorram:
Re-understanding Finite-State Representations of Recurrent Policy Networks. ICML 2021: 2388-2397 - [c135]Helei Duan, Jeremy Dao, Kevin Green, Taylor Apgar, Alan Fern, Jonathan W. Hurst:
Learning Task Space Actions for Bipedal Locomotion. ICRA 2021: 1276-1282 - [c134]Jonah Siekmann, Yesh Godse, Alan Fern, Jonathan W. Hurst:
Sim-to-Real Learning of All Common Bipedal Gaits via Periodic Reward Composition. ICRA 2021: 7309-7315 - [c133]Rupika Dikkala, Roli Khanna, Caleb R. Matthews, Jonathan Dodge, Sai Raja, Catherine Hu, Jed Irvine, Zeyad Shureih, Kin-Ho Lam, Andrew Anderson, Minsuk Kahng, Alan Fern, Margaret Burnett:
Doing Remote Controlled Studies with Humans: Tales from the COVID Trenches. CHASE@ICSE 2021: 113-116 - [c132]Vivswan Shitole, Fuxin Li, Minsuk Kahng, Prasad Tadepalli, Alan Fern:
One Explanation is Not Enough: Structured Attention Graphs for Image Classification. NeurIPS 2021: 11352-11363 - [c131]Jonah Siekmann, Kevin Green, John Warila, Alan Fern, Jonathan W. Hurst:
Blind Bipedal Stair Traversal via Sim-to-Real Reinforcement Learning. Robotics: Science and Systems 2021 - [c130]Jose Picado, Arash Termehchy, Alan Fern, Sudhanshu Pathak, Praveen Ilango, John Davis:
Scalable and Usable Relational Learning With Automatic Language Bias. SIGMOD Conference 2021: 1440-1451 - [c129]Delyar Tabatabai, Anita Ruangrotsakun, Jed Irvine, Jonathan Dodge, Zeyad Shureih, Kin-Ho Lam, Margaret Burnett, Alan Fern, Minsuk Kahng:
"Why did my AI agent lose?": Visual Analytics for Scaling Up After-Action Review. IEEE VIS (Short Papers) 2021: 16-20 - [i38]Erich Merrill, Stefan Lee, Fuxin Li, Thomas G. Dietterich, Alan Fern:
Deep Convolution for Irregularly Sampled Temporal Point Clouds. CoRR abs/2105.00137 (2021) - [i37]Jonah Siekmann, Kevin Green, John Warila, Alan Fern, Jonathan W. Hurst:
Blind Bipedal Stair Traversal via Sim-to-Real Reinforcement Learning. CoRR abs/2105.08328 (2021) - [i36]Sam Greydanus, Stefan Lee, Alan Fern:
Piecewise-constant Neural ODEs. CoRR abs/2106.06621 (2021) - [i35]Mohamad H. Danesh, Alan Fern:
Out-of-Distribution Dynamics Detection: RL-Relevant Benchmarks and Results. CoRR abs/2107.04982 (2021) - [i34]Fuxin Li, Zhongang Qi, Saeed Khorram, Vivswan Shitole, Prasad Tadepalli, Minsuk Kahng, Alan Fern:
From Heatmaps to Structural Explanations of Image Classifiers. CoRR abs/2109.06365 (2021) - [i33]Kin-Ho Lam, Zhengxian Lin, Jed Irvine, Jonathan Dodge, Zeyad T. Shureih, Roli Khanna, Minsuk Kahng, Alan Fern:
Identifying Reasoning Flaws in Planning-Based RL Using Tree Explanations. CoRR abs/2109.13978 (2021) - 2020
- [j33]Andrew Anderson, Jonathan Dodge, Amrita Sadarangani, Zoe Juozapaitis, Evan Newman, Jed Irvine, Souti Chattopadhyay, Matthew L. Olson, Alan Fern, Margaret Burnett:
Mental Models of Mere Mortals with Explanations of Reinforcement Learning. ACM Trans. Interact. Intell. Syst. 10(2): 15:1-15:37 (2020) - [j32]Shubhomoy Das, Weng-Keen Wong, Thomas G. Dietterich, Alan Fern, Andrew Emmott:
Discovering Anomalies by Incorporating Feedback from an Expert. ACM Trans. Knowl. Discov. Data 14(4): 49:1-49:32 (2020) - [c128]Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Alan Fern:
Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework. AAAI 2020: 3773-3780 - [c127]Murugeswari Issakkimuthu, Alan Fern, Prasad Tadepalli:
The Choice Function Framework for Online Policy Improvement. AAAI 2020: 10178-10185 - [c126]Kevin Smith, Eliza Kosoy, Alison Gopnik, Deepak Pathak, Alan Fern, Josh Tenenbaum, Tomer D. Ullman:
The Origins of Common Sense in Humans and Machines. CogSci 2020 - [c125]Hung Nguyen, Jay Patravali, Fuxin Li, Alan Fern:
Learning Intuitive Physics by Explaining Surprise. CVPR Workshops 2020: 1539-1542 - [c124]Theresa Mai, Roli Khanna, Jonathan Dodge, Jed Irvine, Kin-Ho Lam, Zhengxian Lin, Nicholas Kiddle, Evan Newman, Sai Raja, Caleb R. Matthews, Christopher Perdriau, Margaret Burnett, Alan Fern:
Keeping it "organized and logical": after-action review for AI (AAR/AI). IUI 2020: 465-476 - [c123]Martin Erwig, Prashant Kumar, Alan Fern:
Explanations for Dynamic Programming. PADL 2020: 179-195 - [c122]Jonah Siekmann, Srikar Valluri, Jeremy Dao, Lorenzo Bermillo, Helei Duan, Alan Fern, Jonathan W. Hurst:
Learning Memory-Based Control for Human-Scale Bipedal Locomotion. Robotics: Science and Systems 2020 - [i32]Jonah Siekmann, Srikar Valluri, Jeremy Dao, Lorenzo Bermillo, Helei Duan, Alan Fern, Jonathan W. Hurst:
Learning Memory-Based Control for Human-Scale Bipedal Locomotion. CoRR abs/2006.02402 (2020) - [i31]Mohamad H. Danesh, Anurag Koul, Alan Fern, Saeed Khorram:
Understanding Finite-State Representations of Recurrent Policy Networks. CoRR abs/2006.03745 (2020) - [i30]Zhengxian Lin, Kim-Ho Lam, Alan Fern:
Contrastive Explanations for Reinforcement Learning via Embedded Self Predictions. CoRR abs/2010.05180 (2020) - [i29]Aayam Shrestha, Stefan Lee, Prasad Tadepalli, Alan Fern:
DeepAveragers: Offline Reinforcement Learning by Solving Derived Non-Parametric MDPs. CoRR abs/2010.08891 (2020) - [i28]Anurag Koul, Varun V. Kumar, Alan Fern, Somdeb Majumdar:
Dream and Search to Control: Latent Space Planning for Continuous Control. CoRR abs/2010.09832 (2020) - [i27]Kevin Green, Yesh Godse, Jeremy Dao, Ross L. Hatton, Alan Fern, Jonathan W. Hurst:
Learning Spring Mass Locomotion: Guiding Policies with a Reduced-Order Model. CoRR abs/2010.11234 (2020) - [i26]Jonah Siekmann, Yesh Godse, Alan Fern, Jonathan W. Hurst:
Sim-to-Real Learning of All Common Bipedal Gaits via Periodic Reward Composition. CoRR abs/2011.01387 (2020) - [i25]Helei Duan, Jeremy Dao, Kevin Green, Taylor Apgar, Alan Fern, Jonathan W. Hurst:
Learning Task Space Actions for Bipedal Locomotion. CoRR abs/2011.04741 (2020) - [i24]Vivswan Shitole, Fuxin Li, Minsuk Kahng, Prasad Tadepalli, Alan Fern:
Structured Attention Graphs for Understanding Deep Image Classifications. CoRR abs/2011.06733 (2020) - [i23]Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Alan Fern:
Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework. CoRR abs/2012.07320 (2020)
2010 – 2019
- 2019
- [j31]Carla P. Gomes, Thomas G. Dietterich, Christopher Barrett, Jon Conrad, Bistra Dilkina, Stefano Ermon, Fei Fang, Andrew Farnsworth, Alan Fern, Xiaoli Z. Fern, Daniel Fink, Douglas H. Fisher, Alexander Flecker, Daniel Freund, Angela Fuller, John M. Gregoire, John E. Hopcroft, Steve Kelling, J. Zico Kolter, Warren B. Powell, Nicole D. Sintov, John S. Selker, Bart Selman, Daniel Sheldon, David B. Shmoys, Milind Tambe, Weng-Keen Wong, Christopher Wood, Xiaojian Wu, Yexiang Xue, Amulya Yadav, Abdul-Aziz Yakubu, Mary Lou Zeeman:
Computational sustainability: computing for a better world and a sustainable future. Commun. ACM 62(9): 56-65 (2019) - [j30]Md Amran Siddiqui, Alan Fern, Thomas G. Dietterich, Weng-Keen Wong:
Sequential Feature Explanations for Anomaly Detection. ACM Trans. Knowl. Discov. Data 13(1): 1:1-1:22 (2019) - [j29]Jose Picado, Arash Termehchy, Alan Fern, Parisa Ataei:
Logical scalability and efficiency of relational learning algorithms. VLDB J. 28(2): 147-171 (2019) - [c121]Rey Pocius, Lawrence Neal, Alan Fern:
Strategic Tasks for Explainable Reinforcement Learning. AAAI 2019: 10007-10008 - [c120]Anurag Koul, Alan Fern, Sam Greydanus:
Learning Finite State Representations of Recurrent Policy Networks. ICLR (Poster) 2019 - [c119]Andrew Anderson, Jonathan Dodge, Amrita Sadarangani, Zoe Juozapaitis, Evan Newman, Jed Irvine, Souti Chattopadhyay, Alan Fern, Margaret Burnett:
Explaining Reinforcement Learning to Mere Mortals: An Empirical Study. IJCAI 2019: 1328-1334 - [c118]Mandana Hamidi-Haines, Zhongang Qi, Alan Fern, Fuxin Li, Prasad Tadepalli:
Interactive Naming for Explaining Deep Neural Networks: A Formative Study. IUI Workshops 2019 - [i22]Andrew Anderson, Jonathan Dodge, Amrita Sadarangani, Zoe Juozapaitis, Evan Newman, Jed Irvine, Souti Chattopadhyay, Alan Fern, Margaret Burnett:
Explaining Reinforcement Learning to Mere Mortals: An Empirical Study. CoRR abs/1903.09708 (2019) - [i21]Murugeswari Issakkimuthu, Alan Fern, Prasad Tadepalli:
The Choice Function Framework for Online Policy Improvement. CoRR abs/1910.00614 (2019) - 2018
- [c117]Md Amran Siddiqui, Alan Fern, Ryan Wright, Alec Theriault, David W. Archer, William Maxwell:
Detecting Cyberattack Entities from Audit Data via Multi-View Anomaly Detection with Feedback. AAAI Workshops 2018: 277-284 - [c116]Si Liu, Risheek Garrepalli, Alan Fern, Thomas G. Dietterich:
Can We Achieve Open Category Detection with Guarantees? AAAI Workshops 2018: 356-363 - [c115]Murugeswari Issakkimuthu, Alan Fern, Prasad Tadepalli:
Training Deep Reactive Policies for Probabilistic Planning Problems. ICAPS 2018: 422-430 - [c114]Patrick Clary, Pedro Morais, Alan Fern, Jonathan W. Hurst:
Monte-Carlo Planning for Agile Legged Locomotion. ICAPS 2018: 446-450 - [c113]Jose Picado, Sudhanshu Pathak, Arash Termehchy, Alan Fern:
AutoMode: Relational Learning with Less Black Magic. ICDE 2018: 1553-1556 - [c112]Samuel Greydanus, Anurag Koul, Jonathan Dodge, Alan Fern:
Visualizing and Understanding Atari Agents. ICML 2018: 1787-1796 - [c111]Si Liu, Risheek Garrepalli, Thomas G. Dietterich, Alan Fern, Dan Hendrycks:
Open Category Detection with PAC Guarantees. ICML 2018: 3175-3184 - [c110]Durga Harish Dayapule, Aswin Raghavan, Prasad Tadepalli, Alan Fern:
Emergency Response Optimization using Online Hybrid Planning. IJCAI 2018: 4722-4728 - [c109]Md Amran Siddiqui, Alan Fern, Thomas G. Dietterich, Ryan Wright, Alec Theriault, David W. Archer:
Feedback-Guided Anomaly Discovery via Online Optimization. KDD 2018: 2200-2209 - [c108]Taylor Apgar, Patrick Clary, Kevin Green, Alan Fern, Jonathan W. Hurst:
Fast Online Trajectory Optimization for the Bipedal Robot Cassie. Robotics: Science and Systems 2018 - [i20]Si Liu, Risheek Garrepalli, Thomas G. Dietterich, Alan Fern, Dan Hendrycks:
Open Category Detection with PAC Guarantees. CoRR abs/1808.00529 (2018) - [i19]Anurag Koul, Sam Greydanus, Alan Fern:
Learning Finite State Representations of Recurrent Policy Networks. CoRR abs/1811.12530 (2018) - [i18]Mandana Hamidi-Haines, Zhongang Qi, Alan Fern, Fuxin Li, Prasad Tadepalli:
Interactive Naming for Explaining Deep Neural Networks: A Formative Study. CoRR abs/1812.07150 (2018) - 2017
- [j28]Jesse Hostetler, Alan Fern, Thomas G. Dietterich:
Sample-Based Tree Search with Fixed and Adaptive State Abstractions. J. Artif. Intell. Res. 60: 717-777 (2017) - [j27]Jervis Pinto, Alan Fern:
Learning Partial Policies to Speedup MDP Tree Search via Reduction to I.I.D. Learning. J. Mach. Learn. Res. 18: 65:1-65:35 (2017) - [c107]Aswin Raghavan, Scott Sanner, Roni Khardon, Prasad Tadepalli, Alan Fern:
Hindsight Optimization for Hybrid State and Action MDPs. AAAI 2017: 3790-3796 - [c106]Alan Fern, Robby Goetschalckx, Mandana Hamidi-Haines, Prasad Tadepalli:
Adaptive Submodularity with Varying Query Sets: An Application to Active Multi-label Learning. ALT 2017: 577-592 - [c105]Behrooz Mahasseni, Sinisa Todorovic, Alan Fern:
Budget-Aware Deep Semantic Video Segmentation. CVPR 2017: 2077-2086 - [c104]Jose Picado, Arash Termehchy, Alan Fern, Sudhanshu Pathak:
Towards Automatically Setting Language Bias in Relational Learning. DEEM@SIGMOD 2017: 3:1-3:4 - [c103]Jose Picado, Arash Termehchy, Alan Fern, Parisa Ataei:
Schema Independent Relational Learning. SIGMOD Conference 2017: 929-944 - [r2]Alan Fern:
Speedup Learning. Encyclopedia of Machine Learning and Data Mining 2017: 1167-1172 - [i17]Shubhomoy Das, Weng-Keen Wong, Alan Fern, Thomas G. Dietterich, Md Amran Siddiqui:
Incorporating Feedback into Tree-based Anomaly Detection. CoRR abs/1708.09441 (2017) - [i16]Jose Picado, Sudhanshu Pathak, Arash Termehchy, Alan Fern:
AutoMode: Relational Learning With Less Black Magic. CoRR abs/1710.01420 (2017) - [i15]Sam Greydanus, Anurag Koul, Jonathan Dodge, Alan Fern:
Visualizing and Understanding Atari Agents. CoRR abs/1711.00138 (2017) - 2016
- [j26]Javad Azimi, Xiaoli Z. Fern, Alan Fern:
Budgeted Optimization with Constrained Experiments. J. Artif. Intell. Res. 56: 119-152 (2016) - [j25]Jose Picado, Parisa Ataei, Arash Termehchy, Alan Fern:
Schema Independent and Scalable Relational Learning By Castor. Proc. VLDB Endow. 9(13): 1589-1592 (2016) - [c102]Nima Dolatnia, Alan Fern, Xiaoli Z. Fern:
Bayesian Optimization with Resource Constraints and Production. ICAPS 2016: 115-123 - [c101]Yodsawalai Chodpathumwan, Jose Picado, Arash Termehchy, Alan Fern, Yizhou Sun:
Toward Representation Independent Analytics over Structured Data. ICDM Workshops 2016: 357-360 - [c100]Shubhomoy Das, Weng-Keen Wong, Thomas G. Dietterich, Alan Fern, Andrew Emmott:
Incorporating Expert Feedback into Active Anomaly Discovery. ICDM 2016: 853-858 - [c99]Md Amran Siddiqui, Alan Fern, Thomas G. Dietterich, Shubhomoy Das:
Finite Sample Complexity of Rare Pattern Anomaly Detection. UAI 2016 - [i14]Behrooz Mahasseni, Sinisa Todorovic, Alan Fern:
Approximate Policy Iteration for Budgeted Semantic Video Segmentation. CoRR abs/1607.07770 (2016) - 2015
- [j24]Shan Xue, Alan Fern, Daniel Sheldon:
Scheduling Conservation Designs for Maximum Flexibility via Network Cascade Optimization. J. Artif. Intell. Res. 52: 331-360 (2015) - [c98]Hao Cui, Roni Khardon, Alan Fern, Prasad Tadepalli:
Factored MCTS for Large Scale Stochastic Planning. AAAI 2015: 3261-3267 - [c97]Nima Dolatnia, Alan Fern, Xiaoli Z. Fern:
Toward Embedding Bayesian Optimization in the Lab: Reasoning about Resource and Actions. AAAI Fall Symposia 2015: 2-8 - [c96]Murugeswari Issakkimuthu, Alan Fern, Roni Khardon, Prasad Tadepalli, Shan Xue:
Hindsight Optimization for Probabilistic Planning with Factored Actions. ICAPS 2015: 120-128 - [c95]Jörg Hoffmann, Alan Fern:
Journal Track Paper Abstracts. ICAPS 2015: 357-358 - [c94]Sheng Chen, Alan Fern, Sinisa Todorovic:
Person count localization in videos from noisy foreground and detections. CVPR 2015: 1364-1372 - [c93]Robby Goetschalckx, Alan Fern, Prasad Tadepalli:
Multitask Coactive Learning. IJCAI 2015: 3518-3524 - [c92]Mandana Hamidi, Prasad Tadepalli, Robby Goetschalckx, Alan Fern:
Active Imitation Learning of Hierarchical Policies. IJCAI 2015: 3554-3560 - [c91]Jesse Hostetler, Alan Fern, Thomas G. Dietterich:
Progressive Abstraction Refinement for Sparse Sampling. UAI 2015: 365-374 - [c90]Aswin Raghavan, Roni Khardon, Prasad Tadepalli, Alan Fern:
Memory-Effcient Symbolic Online Planning for Factored MDPs. UAI 2015: 732-741 - [c89]Frank Liu, Robin Hess, Alan Fern:
Efficiently Constructing Mosaics from Video Collections. WACV 2015: 223-230 - [i13]Md Amran Siddiqui, Alan Fern, Thomas G. Dietterich, Weng-Keen Wong:
Sequential Feature Explanations for Anomaly Detection. CoRR abs/1503.00038 (2015) - [i12]Andrew Emmott, Shubhomoy Das, Thomas G. Dietterich, Alan Fern, Weng-Keen Wong:
Systematic Construction of Anomaly Detection Benchmarks from Real Data. CoRR abs/1503.01158 (2015) - [i11]Jose Picado, Arash Termehchy, Alan Fern:
Schema Independent Relational Learning. CoRR abs/1508.03846 (2015) - 2014
- [j23]Alan Fern, Sriraam Natarajan, Kshitij Judah, Prasad Tadepalli:
A Decision-Theoretic Model of Assistance. J. Artif. Intell. Res. 50: 71-104 (2014) - [j22]Janardhan Rao Doppa, Alan Fern, Prasad Tadepalli:
HC-Search: A Learning Framework for Search-based Structured Prediction. J. Artif. Intell. Res. 50: 369-407 (2014) - [j21]Aaron Wilson, Alan Fern, Prasad Tadepalli:
Using trajectory data to improve bayesian optimization for reinforcement learning. J. Mach. Learn. Res. 15(1): 253-282 (2014) - [j20]Janardhan Rao Doppa, Alan Fern, Prasad Tadepalli:
Structured prediction via output space search. J. Mach. Learn. Res. 15(1): 1317-1350 (2014) - [j19]Kshitij Judah, Alan Paul Fern, Thomas G. Dietterich, Prasad Tadepalli:
Active lmitation learning: formal and practical reductions to I.I.D. learning. J. Mach. Learn. Res. 15(1): 3925-3963 (2014) - [c88]Janardhan Rao Doppa, Jun Yu, Chao Ma, Alan Fern, Prasad Tadepalli:
HC-Search for Multi-Label Prediction: An Empirical Study. AAAI 2014: 1795-1801 - [c87]Robby Goetschalckx, Alan Fern, Prasad Tadepalli:
Coactive Learning for Locally Optimal Problem Solving. AAAI 2014: 1824-1830 - [c86]Kshitij Judah, Alan Fern, Prasad Tadepalli, Robby Goetschalckx:
Imitation Learning with Demonstrations and Shaping Rewards. AAAI 2014: 1890-1896 - [c85]Jesse Hostetler, Alan Fern, Tom Dietterich:
State Aggregation in Monte Carlo Tree Search. AAAI 2014: 2446-2452 - [c84]Shan Xue, Alan Fern, Daniel Sheldon:
Dynamic Resource Allocation for Optimizing Population Diffusion. AISTATS 2014: 1033-1041 - [c83]Sheng Chen, Alan Fern, Sinisa Todorovic:
Multi-object Tracking via Constrained Sequential Labeling. CVPR 2014: 1130-1137 - [c82]Michal Krajnanský, Jörg Hoffmann, Olivier Buffet, Alan Fern:
Learning Pruning Rules for Heuristic Search Planning. ECAI 2014: 483-488 - [c81]Rich Meier, Eduardo Cotilla Sanchez, Alan Fern:
A policy switching approach to consolidating load shedding and islanding protection schemes. PSCC 2014: 1-7 - [c80]Jervis Pinto, Alan Fern:
Learning Partial Policies to Speedup MDP Tree Search. UAI 2014: 672-681 - [c79]Sheng Chen, Zhongyuan Feng, Qingkai Lu, Behrooz Mahasseni, Trevor Fiez, Alan Fern, Sinisa Todorovic:
Play type recognition in real-world football video. WACV 2014: 652-659 - [e1]Steve A. Chien, Minh Binh Do, Alan Fern, Wheeler Ruml:
Proceedings of the Twenty-Fourth International Conference on Automated Planning and Scheduling, ICAPS 2014, Portsmouth, New Hampshire, USA, June 21-26, 2014. AAAI 2014, ISBN 978-1-57735-660-8 [contents] - [i10]Rich Meier, Eduardo Cotilla Sanchez, Alan Fern:
A Policy Switching Approach to Consolidating Load Shedding and Islanding Protection Schemes. CoRR abs/1402.0911 (2014) - [i9]Robby Goetschalckx, Alan Fern, Prasad Tadepalli:
Coactive Learning for Locally Optimal Problem Solving. CoRR abs/1404.5511 (2014) - [i8]Yodsawalai Chodpathumwan, Jose Picado, Arash Termehchy, Alan Fern, Yizhou Sun:
Representation Independent Analytics Over Structured Data. CoRR abs/1409.2553 (2014) - 2013
- [c78]Janardhan Rao Doppa, Alan Fern, Prasad Tadepalli:
HC-Search: Learning Heuristics and Cost Functions for Structured Prediction. AAAI 2013: 253-259 - [c77]Saket Joshi, Roni Khardon, Prasad Tadepalli, Alan Fern, Aswin Raghavan:
Relational Markov Decision Processes: Promise and Prospects. StarAI@AAAI 2013 - [c76]Brian King, Alan Fern, Jesse Hostetler:
On Adversarial Policy Switching with Experiments in Real-Time Strategy Games. ICAPS 2013 - [c75]Behrooz Mahasseni, Sheng Chen, Alan Fern, Sinisa Todorovic:
Detecting the Moment of Snap in Real-World Football Videos. IAAI 2013: 1545-1550 - [c74]Mohamed R. Amer, Sinisa Todorovic, Alan Fern, Song-Chun Zhu:
Monte Carlo Tree Search for Scheduling Activity Recognition. ICCV 2013: 1353-1360 - [c73]Ted E. Senator, Henry G. Goldberg, Alex Memory, William T. Young, Brad Rees, Robert Pierce, Daniel Huang, Matthew Reardon, David A. Bader, Edmond Chow, Irfan A. Essa, Joshua Jones, Vinay Bettadapura, Duen Horng Chau, Oded Green, Oguz Kaya, Anita Zakrzewska, Erica Briscoe, Rudolph L. Mappus IV, Robert McColl, Lora Weiss, Thomas G. Dietterich, Alan Fern, Weng-Keen Wong, Shubhomoy Das, Andrew Emmott, Jed Irvine, Jay Yoon Lee, Danai Koutra, Christos Faloutsos, Daniel D. Corkill, Lisa Friedland, Amanda Gentzel, David D. Jensen:
Detecting insider threats in a real corporate database of computer usage activity. KDD 2013: 1393-1401 - [c72]Aswin Raghavan, Roni Khardon, Alan Fern, Prasad Tadepalli:
Symbolic Opportunistic Policy Iteration for Factored-Action MDPs. NIPS 2013: 2499-2507 - [c71]Saket Joshi, Roni Khardon, Prasad Tadepalli, Aswin Raghavan, Alan Fern:
Solving Relational MDPs with Exogenous Events and Additive Rewards. ECML/PKDD (1) 2013: 178-193 - [i7]Sung Wook Yoon, Alan Fern, Robert Givan:
Inductive Policy Selection for First-Order MDPs. CoRR abs/1301.0614 (2013) - [i6]Saket Joshi, Roni Khardon, Prasad Tadepalli, Aswin Raghavan, Alan Fern:
Solving Relational MDPs with Exogenous Events and Additive Rewards. CoRR abs/1306.6302 (2013) - 2012
- [j18]Sriraam Natarajan, Prasad Tadepalli, Alan Fern:
A relational hierarchical model for decision-theoretic assistance. Knowl. Inf. Syst. 32(2): 329-349 (2012) - [c70]Shan Xue, Alan Fern, Daniel Sheldon:
Scheduling Conservation Designs via Network Cascade Optimization. AAAI 2012: 391-397 - [c69]Aswin Raghavan, Saket Joshi, Alan Fern, Prasad Tadepalli, Roni Khardon:
Planning in Factored Action Spaces with Symbolic Dynamic Programming. AAAI 2012: 1802-1808 - [c68]Kshitij Judah, Alan Paul Fern, Thomas Glenn Dietterich:
Active Imitation Learning via Reduction to I.I.D. Active Learning. AAAI Fall Symposium: Robots Learning Interactively from Human Teachers 2012 - [c67]Pingan Zhu, Jervis Pinto, Thinh Nguyen, Alan Fern:
Achieving Quality of Service with Adaptation-based Programming for medium access protocols. GLOBECOM 2012: 1932-1937 - [c66]Tim Bauer, Martin Erwig, Alan Fern, Jervis Pinto:
Faster program adaptation through reward attribution inference. GPCE 2012: 103-111 - [c65]Javad Azimi, Alan Fern, Xiaoli Zhang Fern, Glencora Borradaile, Brent Heeringa:
Batch Active Learning via Coordinated Matching. ICML 2012 - [c64]Janardhan Rao Doppa, Alan Fern, Prasad Tadepalli:
Output Space Search for Structured Prediction. ICML 2012 - [c63]Alex Groce, Alan Fern, Martin Erwig, Jervis Pinto, Tim Bauer, Mohammad Amin Alipour:
Learning-Based Test Programming for Programmers. ISoLA (1) 2012: 572-586 - [c62]Alex Groce, Alan Fern, Jervis Pinto, Tim Bauer, Mohammad Amin Alipour, Martin Erwig, Camden Lopez:
Lightweight Automated Testing with Adaptation-Based Programming. ISSRE 2012: 161-170 - [c61]Aaron Wilson, Alan Fern, Prasad Tadepalli:
A Bayesian Approach for Policy Learning from Trajectory Preference Queries. NIPS 2012: 1142-1150 - [c60]Jesse Hostetler, Ethan W. Dereszynski, Thomas G. Dietterich, Alan Fern:
Inferring Strategies from Limited Reconnaissance in Real-time Strategy Games. UAI 2012: 367-376 - [c59]Kshitij Judah, Alan Fern, Thomas G. Dietterich:
Active Imitation Learning via Reduction to I.I.D. Active Learning. UAI 2012: 428-437 - [c58]Aaron Wilson, Alan Fern, Prasad Tadepalli:
Transfer Learning in Sequential Decision Problems: A Hierarchical Bayesian Approach. ICML Unsupervised and Transfer Learning 2012: 217-227 - [i5]Kshitij Judah, Alan Fern, Thomas G. Dietterich:
Active Imitation Learning via Reduction to I.I.D. Active Learning. CoRR abs/1210.4876 (2012) - [i4]Jesse Hostetler, Ethan W. Dereszynski, Thomas G. Dietterich, Alan Fern:
Inferring Strategies from Limited Reconnaissance in Real-time Strategy Games. CoRR abs/1210.4880 (2012) - 2011
- [j17]David J. Stracuzzi, Alan Fern, Kamal Ali, Robin Hess, Jervis Pinto, Nan Li, Tolga Könik, Daniel G. Shapiro:
An Application of Transfer to American Football: From Observation of Raw Video to Control in a Simulated Environment. AI Mag. 32(2): 107-125 (2011) - [j16]Alan Fern, Roni Khardon, Prasad Tadepalli:
The first learning track of the international planning competition. Mach. Learn. 84(1-2): 81-107 (2011) - [j15]Omar Alsaleh, Pavithra Venkatraman, Bechir Hamdaoui, Alan Fern:
Enabling opportunistic and dynamic spectrum access through learning techniques. Wirel. Commun. Mob. Comput. 11(12): 1497-1506 (2011) - [c57]Ethan W. Dereszynski, Jesse Hostetler, Alan Fern, Thomas G. Dietterich, Thao-Trang Hoang, Mark Udarbe:
Learning Probabilistic Behavior Models in Real-Time Strategy Games. AIIDE 2011 - [c56]Alan Fern, Paul Lewis:
Ensemble Monte-Carlo Planning: An Empirical Study. ICAPS 2011 - [c55]William Brendel, Alan Fern, Sinisa Todorovic:
Probabilistic event logic for interval-based event recognition. CVPR 2011: 3329-3336 - [c54]Joseph Selman, Mohamed R. Amer, Alan Fern, Sinisa Todorovic:
PEL-CNF: Probabilistic event logic conjunctive normal form for video interpretation. ICCV Workshops 2011: 680-687 - [c53]Pingan Zhu, Jervis Pinto, Alan Fern, Thinh P. Nguyen:
Adaptation-based programming for network protocol design: An 802.11x case study (abstract). IPCCC 2011: 1-2 - [c52]Javad Azimi, Alan Fern, Xiaoli Z. Fern:
Budgeted Optimization with Concurrent Stochastic-Duration Experiments. NIPS 2011: 1098-1106 - [c51]Neville Mehta, Prasad Tadepalli, Alan Fern:
Autonomous Learning of Action Models for Planning. NIPS 2011: 2465-2473 - [c50]Tim Bauer, Martin Erwig, Alan Fern, Jervis Pinto:
Adaptation-based programming in java. PEPM 2011: 81-90 - [c49]Joseph Selman, Alan Fern:
Learning First-Order Definite Theories via Object-Based Queries. ECML/PKDD (3) 2011: 159-174 - [c48]Tim Bauer, Martin Erwig, Alan Fern, Jervis Pinto:
Adaptation-Based Programming in Haskell. DSL 2011: 1-23 - [c47]Jervis Pinto, Alan Fern, Tim Bauer, Martin Erwig:
Improving Policy Gradient Estimates with Influence Information. ACML 2011: 1-18 - [i3]Alan Fern, Robert Givan, Jeffrey Mark Siskind:
Specific-to-General Learning for Temporal Events with Application to Learning Event Definitions from Video. CoRR abs/1106.4572 (2011) - [i2]Alan Fern, Robert Givan, Sung Wook Yoon:
Approximate Policy Iteration with a Policy Language Bias: Solving Relational Markov Decision Processes. CoRR abs/1109.2156 (2011) - 2010
- [j14]Monchai Lertsutthiwong, Thinh P. Nguyen, Alan Fern:
On Throughput Guarantee of Aloha-Like Multi-Hop Wireless Networks. Wirel. Pers. Commun. 53(1): 53-66 (2010) - [c46]Javad Azimi, Xiaoli Z. Fern, Alan Fern, Elizabeth Burrows, Frank Chaplen, Yanzhen Fan, Hong Liu, Jun Jaio, Rebecca Schaller:
Myopic Policies for Budgeted Optimization with Constrained Experiments. AAAI 2010: 388-393 - [c45]Alan Fern, Prasad Tadepalli:
A Computational Decision Theory for Interactive Assistants. Interactive Decision Theory and Game Theory 2010 - [c44]Kshitij Judah, Saikat Roy, Alan Fern, Thomas G. Dietterich:
Reinforcement Learning Via Practice and Critique Advice. AAAI 2010: 481-486 - [c43]Aaron Wilson, Alan Fern, Prasad Tadepalli:
Bayesian Policy Search for Multi-Agent Role Discovery. AAAI 2010: 624-629 - [c42]Yuehua Xu, Alan Fern, Sung Wook Yoon:
Iterative Learning of Weighted Rule Sets for Greedy Search. ICAPS 2010: 201-208 - [c41]Aaron Wilson, Alan Fern, Prasad Tadepalli:
Bayesian role discovery for multi-agent reinforcement learning. AAMAS 2010: 1587-1588 - [c40]Jervis Pinto, Alan Fern, Tim Bauer, Martin Erwig:
Robust Learning for Adaptive Programs by Leveraging Program Structure. ICMLA 2010: 943-948 - [c39]Omar Alsaleh, Bechir Hamdaoui, Alan Fern:
Q-learning for opportunistic spectrum access. IWCMC 2010: 220-224 - [c38]Javad Azimi, Alan Fern, Xiaoli Z. Fern:
Batch Bayesian Optimization via Simulation Matching. NIPS 2010: 109-117 - [c37]Alan Fern, Prasad Tadepalli:
A Computational Decision Theory for Interactive Assistants. NIPS 2010: 577-585 - [c36]Aaron Wilson, Alan Fern, Prasad Tadepalli:
Incorporating Domain Models into Bayesian Optimization for RL. ECML/PKDD (3) 2010: 467-482 - [r1]Alan Fern:
Speedup Learning. Encyclopedia of Machine Learning 2010: 907-911
2000 – 2009
- 2009
- [j13]Alan Fern:
A Penalty-Logic Simple-Transition Model for Structured Sequences. Comput. Intell. 25(4): 302-334 (2009) - [j12]Yuehua Xu, Alan Fern, Sung Wook Yoon:
Learning Linear Ranking Functions for Beam Search with Application to Planning. J. Mach. Learn. Res. 10: 1571-1610 (2009) - [c35]Ronald Bjarnason, Alan Fern, Prasad Tadepalli:
Lower Bounding Klondike Solitaire with Monte-Carlo Planning. ICAPS 2009 - [c34]Robin Hess, Alan Fern:
Discriminatively trained particle filters for complex multi-object tracking. CVPR 2009: 240-247 - [c33]Ronald Bjarnason, Prasad Tadepalli, Alan Fern, Carl Niedner:
Simulation-based Optimization of Resource Placement and Emergency Response. IAAI 2009 - [c32]Radha-Krishna Balla, Alan Fern:
UCT for Tactical Assault Planning in Real-Time Strategy Games. IJCAI 2009: 40-45 - 2008
- [j11]Sriraam Natarajan, Prasad Tadepalli, Thomas G. Dietterich, Alan Fern:
Learning first-order probabilistic models with combining rules. Ann. Math. Artif. Intell. 54(1-3): 223-256 (2008) - [j10]Monchai Lertsutthiwong, Thinh P. Nguyen, Alan Fern:
Scalable Video Streaming for Single-Hop Wireless Networks Using a Contention-Based Access MAC Protocol. Adv. Multim. 2008: 928521:1-928521:21 (2008) - [j9]Sung Wook Yoon, Alan Fern, Robert Givan:
Learning Control Knowledge for Forward Search Planning. J. Mach. Learn. Res. 9: 683-718 (2008) - [j8]Neville Mehta, Sriraam Natarajan, Prasad Tadepalli, Alan Fern:
Transfer in variable-reward hierarchical reinforcement learning. Mach. Learn. 73(3): 289-312 (2008) - [c31]Sung Wook Yoon, Alan Fern, Robert Givan, Subbarao Kambhampati:
Probabilistic Planning via Determinization in Hindsight. AAAI 2008: 1010-1016 - [c30]Scott Dejmal, Alan Fern, Thinh P. Nguyen:
Reinforcement Learning for Vulnerability Assessment in Peer-to-Peer Networks. AAAI 2008: 1655-1662 - 2007
- [j7]Ronald Bjarnason, Prasad Tadepalli, Alan Fern:
Searching Solitaire in Real Time. J. Int. Comput. Games Assoc. 30(3): 131-142 (2007) - [c29]Sriraam Natarajan, Kshitij Judah, Prasad Tadepalli, Alan Fern:
A Decision-Theoretic Model of Assistance - Evaluation, Extensions and Open Problems. AAAI Spring Symposium: Interaction Challenges for Intelligent Assistants 2007: 90-97 - [c28]Hei Chan, Alan Fern, Soumya Ray, Nick Wilson, Chris Ventura:
Online Planning for Resource Production in Real-Time Strategy Games. ICAPS 2007: 65-72 - [c27]Sung Wook Yoon, Alan Fern, Robert Givan:
FF-Replan: A Baseline for Probabilistic Planning. ICAPS 2007: 352- - [c26]Robin Hess, Alan Fern:
Improved Video Registration using Non-Distinctive Local Image Features. CVPR 2007 - [c25]Robin Hess, Alan Fern, Eric N. Mortensen:
Mixture-of-Parts Pictorial Structures for Objects with Variable Part Sets. ICCV 2007: 1-8 - [c24]Sriraam Natarajan, Kshitij Judah, Prasad Tadepalli, Alan Fern:
A Decision-Theoretic Model of Assistance - Evaluation, Extensions and Open Problems. Interaction Challenges for Intelligent Assistants 2007: 90-97 - [c23]Monchai Lertsutthiwong, Thinh P. Nguyen, Alan Fern:
Wireless Video Streaming with Collaborative Admission Control for Home Networks. ICME 2007: 943-946 - [c22]Charles Parker, Alan Fern, Prasad Tadepalli:
Learning for efficient retrieval of structured data with noisy queries. ICML 2007: 729-736 - [c21]Aaron Wilson, Alan Fern, Soumya Ray, Prasad Tadepalli:
Multi-task reinforcement learning: a hierarchical Bayesian approach. ICML 2007: 1015-1022 - [c20]Yuehua Xu, Alan Fern:
On learning linear ranking functions for beam search. ICML 2007: 1047-1054 - [c19]Alan Fern, Sriraam Natarajan, Kshitij Judah, Prasad Tadepalli:
A Decision-Theoretic Model of Assistance. IJCAI 2007: 1879-1884 - [c18]Yuehua Xu, Alan Fern, Sung Wook Yoon:
Discriminative Learning of Beam-Search Heuristics for Planning. IJCAI 2007: 2041-2046 - [c17]Sung Wook Yoon, Alan Fern, Robert Givan:
Using Learned Policies in Heuristic-Search Planning. IJCAI 2007: 2047-2053 - [c16]Guohua Hao, Alan Fern:
Revisiting Output Coding for Sequential Supervised Learning. IJCAI 2007: 2486-2491 - [c15]Sriraam Natarajan, Prasad Tadepalli, Alan Fern:
A Relational Hierarchical Model for Decision-Theoretic Assistance. ILP 2007: 175-190 - [i1]Sriraam Natarajan, Prasad Tadepalli, Alan Fern:
Exploiting prior knowledge in Intelligent Assistants - Combining relational models with hierarchies. Probabilistic, Logical and Relational Learning - A Further Synthesis 2007 - 2006
- [j6]Alan Fern, Robert Givan:
Sequential inference with reliable observations: Learning to construct force-dynamic models. Artif. Intell. 170(14-15): 1081-1100 (2006) - [j5]Alan Fern, Sung Wook Yoon, Robert Givan:
Approximate Policy Iteration with a Policy Language Bias: Solving Relational Markov Decision Processes. J. Artif. Intell. Res. 25: 75-118 (2006) - [j4]Alan Fern, Robert Givan, Babak Falsafi, T. N. Vijaykumar:
Dynamic feature selection for hardware prediction. J. Syst. Archit. 52(4): 213-234 (2006) - [c14]Charles Parker, Alan Fern, Prasad Tadepalli:
Gradient Boosting for Sequence Alignment. AAAI 2006: 452-457 - [c13]Sung Wook Yoon, Alan Fern, Robert Givan:
Learning Heuristic Functions from Relaxed Plans. ICAPS 2006: 162-171 - 2005
- [c12]Sung Wook Yoon, Alan Fern, Robert Givan:
Learning Measures of Progress for Planning Domains. AAAI 2005: 1217-1222 - [c11]Sriraam Natarajan, Prasad Tadepalli, Eric Altendorf, Thomas G. Dietterich, Alan Fern, Angelo C. Restificar:
Learning first-order probabilistic models with combining rules. ICML 2005: 609-616 - [c10]Alan Fern:
A Simple-Transition Model for Relational Sequences. IJCAI 2005: 696-701 - 2004
- [b1]Alan Fern:
Learning models and formulas of a temporal event logic. Purdue University, USA, 2004 - [c9]Alan Fern, Sung Wook Yoon, Robert Givan:
Learning Domain-Specific Control Knowledge from Random Walks. ICAPS 2004: 191-199 - [c8]Alan Fern, Robert Givan:
Relational sequential inference with reliable observations. ICML 2004 - 2003
- [j3]Alan Fern, Robert Givan:
Online Ensemble Learning: An Empirical Study. Mach. Learn. 53(1-2): 71-109 (2003) - [c7]Alan Fern, Sung Wook Yoon, Robert Givan:
Approximate Policy Iteration with a Policy Language Bias. NIPS 2003: 847-854 - 2002
- [j2]Alan Fern, Robert Givan, Jeffrey Mark Siskind:
Specific-to-General Learning for Temporal Events with Application to Learning Event Definitions from Video. J. Artif. Intell. Res. 17: 379-449 (2002) - [c6]Alan Fern, Robert Givan, Jeffrey Mark Siskind:
Specific-to-General Learning for Temporal Events. AAAI/IAAI 2002: 152-158 - [c5]Alan Fern, Jeffrey Mark Siskind, Robert Givan:
Learning Temporal, Relational, Force-Dynamic Event Definitions from Video. AAAI/IAAI 2002: 159-166 - [c4]Sung Wook Yoon, Alan Fern, Robert Givan:
Inductive Policy Selection for First-Order MDPs. UAI 2002: 568-576 - 2000
- [c3]Alan Fern, Robert Givan:
Online Ensemble Learning: An Empirical Study. ICML 2000: 279-286
1990 – 1999
- 1998
- [j1]Alan Fern, Mohamad T. Musavi, Jon Miranda:
Automatic extraction of drainage network from digital terrain elevation data: a local network approach. IEEE Trans. Geosci. Remote. Sens. 36(3): 1007-1011 (1998) - 1997
- [c2]Alan Fern, Jon Miranda, Mohamad T. Musavi, D. R. Coughlin:
Pulp digester level prediction using multiresolution networks of locally active units. ICNN 1997: 633-638 - [c1]Alan Fern, Mohamad T. Musavi, Jon Miranda:
Automatic extraction of drainage networks from digital terrain elevation data: a local network approach. ICNN 1997: 1512-1517
Coauthor Index
Margaret M. Burnett
aka: Margaret Burnett
aka: Margaret Burnett
Kin-Ho Lam
aka: Kim-Ho Lam
aka: Kim-Ho Lam
[c137] [c132] [i34] [c127] [i29] [i24] [c118] [i21] [c115] [c110] [i18] [c107] [c106] [c98] [c96] [c93] [c92] [c90] [j23] [j22] [j21] [j20] [j19] [c88] [c87] [c86] [i9] [c78] [c77] [c72] [c71] [i6] [j18] [c69] [c64] [c61] [c58] [j16] [c51] [c45] [c43] [c41] [c37] [c36] [c35] [c33] [j11] [j8] [j7] [c29] [c24] [c22] [c21] [c19] [c15] [i1] [c14] [c11]
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