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ORCIDCraig Lennon
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2020 – today
- 2024
[c7]Cyrus Neary, Christian Ellis, Aryaman Singh Samyal, Craig Lennon, Ufuk Topcu:
A Multifidelity Sim-to-Real Pipeline for Verifiable and Compositional Reinforcement Learning. ICRA 2024: 4349-4355- 2023
- [j5]Franck Djeumou
, Christian Ellis, Murat Cubuktepe, Craig Lennon, Ufuk Topcu:
Task-guided IRL in POMDPs that scales. Artif. Intell. 317: 103856 (2023) - [i5]Franck Djeumou, Christian Ellis, Murat Cubuktepe, Craig Lennon, Ufuk Topcu:
Task-Guided IRL in POMDPs that Scales. CoRR abs/2301.01219 (2023) - [i4]Cyrus Neary, Christian Ellis, Aryaman Singh Samyal, Craig Lennon, Ufuk Topcu:
A Multifidelity Sim-to-Real Pipeline for Verifiable and Compositional Reinforcement Learning. CoRR abs/2312.01249 (2023) - 2022
- [j4]Long Quang, Marshal Childers, Jonathan Fink, Mark Gonzalez, Arnon Hurwitz, Matthew Kaplan, Craig Lennon, Dilip Patel, Jaymit Patel, Jason L. Pusey, Trevor Rocks, Ed Weller, Chad C. Kessens:
Robotics CTA: 10 Years of Integration, Assessment, and Lessons Learned. Field Robotics 2(1): 1874-1887 (2022) - [c6]Franck Djeumou, Murat Cubuktepe, Craig Lennon, Ufuk Topcu:
Task-Guided Inverse Reinforcement Learning under Partial Information. ICAPS 2022: 53-61 - [i3]Luke Boegner, Manbir Gulati, Garrett Vanhoy, Phillip Vallance, Bradley Comar, Silvija Kokalj-Filipovic, Craig Lennon, Robert D. Miller:
Large Scale Radio Frequency Signal Classification. CoRR abs/2207.09918 (2022) - 2021
- [c5]Christian Ellis, Maggie B. Wigness, John G. Rogers, Craig Lennon, Lance Fiondella:
Risk Averse Bayesian Reward Learning for Autonomous Navigation from Human Demonstration. IROS 2021: 8928-8935 - [i2]Franck Djeumou, Murat Cubuktepe, Craig Lennon, Ufuk Topcu:
Task-Guided Inverse Reinforcement Learning Under Partial Information. CoRR abs/2105.14073 (2021) - [i1]Christian Ellis, Maggie B. Wigness, John G. Rogers III, Craig Lennon, Lance Fiondella:
Risk Averse Bayesian Reward Learning for Autonomous Navigation from Human Demonstration. CoRR abs/2108.00276 (2021) - 2020
- [j3]Michael K. Martin, Christian Lebiere, Mary-Anne Fields, Craig Lennon:
Learning features while learning to classify: a cognitive model for autonomous systems. Comput. Math. Organ. Theory 26(1): 23-54 (2020)
2010 – 2019
- 2017
- [c4]Michael K. Martin, Christian Lebiere, Mary-Anne Fields, Craig Lennon:
A Cognitive Model of Feature Selection and Categorization for Autonomous Systems. SBP-BRiMS 2017: 79-89 - 2016
- [c3]Jean Oh, Thomas M. Howard, Matthew R. Walter, Daniel Barber, Menglong Zhu, Sangdon Park, Arne Suppé, Luis E. Navarro-Serment, Felix Duvallet, Abdeslam Boularias, Oscar J. Romero, Jerry Vinokurov, Terence Keegan, Robert M. Dean, Craig Lennon, Barry A. Bodt, Marshal Childers, Jianbo Shi, Kostas Daniilidis, Nicholas Roy, Christian Lebiere, Martial Hebert, Anthony Stentz:
Integrated Intelligence for Human-Robot Teams. ISER 2016: 309-322 - 2015
- [c2]Mary-Anne Fields, Craig Lennon, Christian Lebiere, Michael K. Martin:
Recognizing Scenes by Simulating Implied Social Interaction Networks. ICIRA (3) 2015: 360-371 - [c1]Bradley J. Wimpey, Craig Lennon, Mary-Anne Fields:
Detecting team behavior using focus of attention. WSC 2015: 2378-2387
2000 – 2009
- 2009
- [j2]Craig Lennon:
On the Locality of the Prüfer Code. Electron. J. Comb. 16(1) (2009) - [j1]Craig Lennon, Boris G. Pittel:
On the Likely Number of Solutions for the Stable Marriage Problem. Comb. Probab. Comput. 18(3): 371-421 (2009)
Coauthor Index
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