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ORCIDEugene Vinitsky
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2020 – today
- 2024
[j5]Nathan Lichtlé
, Eugene Vinitsky, Matthew Nice, Rahul Bhadani, Matthew R. Bunting, Fangyu Wu, Benedetto Piccoli, Benjamin Seibold, Daniel B. Work, Jonathan W. Lee, Jonathan Sprinkle, Alexandre M. Bayen:
From Sim to Real: A Pipeline for Training and Deploying Traffic Smoothing Cruise Controllers. IEEE Trans. Robotics 40: 4490-4505 (2024)- [i18]Nathan Lichtlé, Kathy Jang, Adit Shah, Eugene Vinitsky, Jonathan W. Lee, Alexandre M. Bayen:
Traffic Smoothing Controllers for Autonomous Vehicles Using Deep Reinforcement Learning and Real-World Trajectory Data. CoRR abs/2401.09666 (2024) - [i17]Jonathan W. Lee, Han Wang, Kathy Jang, Amaury Hayat, Matthew R. Bunting, Arwa Alanqary, William Barbour, Zhe Fu, Xiaoqian Gong, George Gunter, Sharon Hornstein, Abdul Rahman Kreidieh, Nathan Lichtlé, Matthew Walter Nice, William A. Richardson, Adit Shah, Eugene Vinitsky, Fangyu Wu, Shengquan Xiang, Sulaiman Almatrudi, Fahd Althukair, Rahul Bhadani, Joy Carpio, Raphaël Chekroun, Eric Cheng, Maria Teresa Chiri, Fang-Chieh Chou, Ryan Delorenzo, Marsalis T. Gibson, Derek Gloudemans, Anish Gollakota, Junyi Ji, Alexander Keimer, Nour Khoudari, Malaika Mahmood, Mikail Mahmood, Hossein Nick Zinat Matin, Sean T. McQuade, Rabie Ramadan, Daniel Urieli, Xia Wang, Yanbing Wang, Rita Xu, Mengsha Yao, Yiling You, Gergely Zachár, Yibo Zhao, Mostafa Ameli, Mirza Najamuddin Baig, Sarah Bhaskaran, Kenneth Butts, Manasi Gowda, Caroline Janssen, John Lee, Liam Pedersen, Riley Wagner, Zimo Zhang, Chang Zhou, Daniel B. Work, Benjamin Seibold, Jonathan Sprinkle, Benedetto Piccoli, Maria Laura Delle Monache, Alexandre M. Bayen:
Traffic Control via Connected and Automated Vehicles: An Open-Road Field Experiment with 100 CAVs. CoRR abs/2402.17043 (2024) - [i16]Kathy Jang, Nathan Lichtlé, Eugene Vinitsky, Adit Shah, Matthew R. Bunting, Matthew Nice, Benedetto Piccoli, Benjamin Seibold, Daniel B. Work, Maria Laura Delle Monache, Jonathan Sprinkle, Jonathan W. Lee, Alexandre M. Bayen:
Reinforcement Learning Based Oscillation Dampening: Scaling up Single-Agent RL algorithms to a 100 AV highway field operational test. CoRR abs/2402.17050 (2024) - [i15]Daphne Cornelisse, Eugene Vinitsky:
Human-compatible driving partners through data-regularized self-play reinforcement learning. CoRR abs/2403.19648 (2024) - [i14]Saman Kazemkhani, Aarav Pandya, Daphne Cornelisse, Brennan Shacklett, Eugene Vinitsky:
GPUDrive: Data-driven, multi-agent driving simulation at 1 million FPS. CoRR abs/2408.01584 (2024) - 2023
- [j4]Zhongxia Yan, Abdul Rahman Kreidieh, Eugene Vinitsky, Alexandre M. Bayen, Cathy Wu:
Unified Automatic Control of Vehicular Systems With Reinforcement Learning. IEEE Trans Autom. Sci. Eng. 20(2): 789-804 (2023) - [j3]Eugene Vinitsky, Nathan Lichtlé, Kanaad Parvate, Alexandre M. Bayen:
Optimizing Mixed Autonomy Traffic Flow with Decentralized Autonomous Vehicles and Multi-Agent Reinforcement Learning. ACM Trans. Cyber Phys. Syst. 7(2): 13:1-13:22 (2023) - [c15]Ishita Mediratta, Minqi Jiang, Jack Parker-Holder, Michael Dennis, Eugene Vinitsky, Tim Rocktäschel:
Stabilizing Unsupervised Environment Design with a Learned Adversary. CoLLAs 2023: 270-291 - [c14]Nathan Lichtlé, Kathy Jang, Adit Shah, Eugene Vinitsky, Jonathan W. Lee, Alexandre M. Bayen:
Traffic Smoothing Controllers for Autonomous Vehicles Using Deep Reinforcement Learning and Real-World Trajectory Data. ITSC 2023: 4346-4351 - [i13]Ishita Mediratta, Minqi Jiang, Jack Parker-Holder, Michael Dennis, Eugene Vinitsky, Tim Rocktäschel:
Stabilizing Unsupervised Environment Design with a Learned Adversary. CoRR abs/2308.10797 (2023) - 2022
- [b1]Eugene Vinitsky:
From sim-to-real: learning and deploying autonomous vehicle controllers that improve transportation metrics. University of California, Berkeley, USA, 2022 - [j2]Alexandre M. Bayen, Jesse Goodman, Eugene Vinitsky:
On the approximability of Time Disjoint Walks. J. Comb. Optim. 44(3): 1615-1636 (2022) - [j1]Cathy Wu, Abdul Rahman Kreidieh, Kanaad Parvate, Eugene Vinitsky, Alexandre M. Bayen:
Flow: A Modular Learning Framework for Mixed Autonomy Traffic. IEEE Trans. Robotics 38(2): 1270-1286 (2022) - [c13]Nathan Lichtlé, Eugene Vinitsky, Matthew Nice, Benjamin Seibold, Dan Work, Alexandre M. Bayen:
Deploying Traffic Smoothing Cruise Controllers Learned from Trajectory Data. ICRA 2022: 2884-2890 - [c12]Eugene Vinitsky, Nathan Lichtlé, Xiaomeng Yang, Brandon Amos, Jakob Foerster:
Nocturne: a scalable driving benchmark for bringing multi-agent learning one step closer to the real world. NeurIPS 2022 - [c11]Chao Yu, Akash Velu, Eugene Vinitsky, Jiaxuan Gao, Yu Wang, Alexandre M. Bayen, Yi Wu:
The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games. NeurIPS 2022 - [i12]Eugene Vinitsky, Nathan Lichtlé, Xiaomeng Yang, Brandon Amos, Jakob Foerster:
Nocturne: a scalable driving benchmark for bringing multi-agent learning one step closer to the real world. CoRR abs/2206.09889 (2022) - [i11]Zhongxia Yan, Abdul Rahman Kreidieh, Eugene Vinitsky, Alexandre M. Bayen, Cathy Wu:
Unified Automatic Control of Vehicular Systems with Reinforcement Learning. CoRR abs/2208.00268 (2022) - 2021
- [c10]Nathan Lichtlé, Eugene Vinitsky, George Gunter, Akash Velu, Alexandre M. Bayen:
Fuel Consumption Reduction of Multi-Lane Road Networks using Decentralized Mixed-Autonomy Control. ITSC 2021: 2068-2073 - [i10]Chao Yu, Akash Velu, Eugene Vinitsky, Yu Wang, Alexandre M. Bayen, Yi Wu:
The Surprising Effectiveness of MAPPO in Cooperative, Multi-Agent Games. CoRR abs/2103.01955 (2021) - [i9]Jonathan W. Lee, George Gunter, Rabie Ramadan, Sulaiman Almatrudi, Paige Arnold, John Aquino, William Barbour, Rahul Bhadani, Joy Carpio, Fang-Chieh Chou, Marsalis T. Gibson, Xiaoqian Gong, Amaury Hayat, Nour Khoudari, Abdul Rahman Kreidieh, Maya Kumar, Nathan Lichtlé, Sean T. McQuade, Brian Q. Nguyen, Megan Ross, Sydney Truong, Eugene Vinitsky, Yibo Zhao, Jonathan Sprinkle, Benedetto Piccoli, Alexandre M. Bayen, Daniel B. Work, Benjamin Seibold:
Integrated Framework of Vehicle Dynamics, Instabilities, Energy Models, and Sparse Flow Smoothing Controllers. CoRR abs/2104.11267 (2021) - [i8]Eugene Vinitsky, Raphael Köster, John P. Agapiou, Edgar A. Duéñez-Guzmán, Alexander Sasha Vezhnevets, Joel Z. Leibo:
A learning agent that acquires social norms from public sanctions in decentralized multi-agent settings. CoRR abs/2106.09012 (2021) - 2020
- [c9]Behdad Chalaki, Logan E. Beaver, Ben Remer, Kathy Jang, Eugene Vinitsky, Alexandre M. Bayen, Andreas A. Malikopoulos:
Zero-Shot Autonomous Vehicle Policy Transfer: From Simulation to Real-World via Adversarial Learning. ICCA 2020: 35-40 - [c8]Michael Dennis, Natasha Jaques, Eugene Vinitsky, Alexandre M. Bayen, Stuart Russell, Andrew Critch, Sergey Levine:
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design. NeurIPS 2020 - [i7]Eugene Vinitsky, Yuqing Du, Kanaad Parvate, Kathy Jang, Pieter Abbeel, Alexandre M. Bayen:
Robust Reinforcement Learning using Adversarial Populations. CoRR abs/2008.01825 (2020) - [i6]Eugene Vinitsky, Nathan Lichtle, Kanaad Parvate, Alexandre M. Bayen:
Optimizing Mixed Autonomy Traffic Flow With Decentralized Autonomous Vehicles and Multi-Agent RL. CoRR abs/2011.00120 (2020) - [i5]Michael Dennis, Natasha Jaques, Eugene Vinitsky, Alexandre M. Bayen, Stuart Russell, Andrew Critch, Sergey Levine:
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design. CoRR abs/2012.02096 (2020)
2010 – 2019
- 2019
- [c7]Kathy Jang, Eugene Vinitsky, Behdad Chalaki, Ben Remer, Logan Beaver, Andreas A. Malikopoulos, Alexandre M. Bayen:
Simulation to scaled city: zero-shot policy transfer for traffic control via autonomous vehicles. ICCPS 2019: 291-300 - [i4]Behdad Chalaki, Logan Beaver, Ben Remer, Kathy Jang, Eugene Vinitsky, Alexandre M. Bayen, Andreas A. Malikopoulos:
Zero-Shot Autonomous Vehicle Policy Transfer: From Simulation to Real-World via Adversarial Learning. CoRR abs/1903.05252 (2019) - 2018
- [c6]Alexandre M. Bayen, Jesse Goodman, Eugene Vinitsky:
On the Approximability of Time Disjoint Walks. COCOA 2018: 62-78 - [c5]Eugene Vinitsky, Aboudy Kreidieh, Luc Le Flem, Nishant Kheterpal, Kathy Jang, Cathy Wu, Fangyu Wu, Richard Liaw, Eric Liang, Alexandre M. Bayen:
Benchmarks for reinforcement learning in mixed-autonomy traffic. CoRL 2018: 399-409 - [c4]Eugene Vinitsky, Kanaad Parvate, Aboudy Kreidieh, Cathy Wu, Alexandre M. Bayen:
Lagrangian Control through Deep-RL: Applications to Bottleneck Decongestion. ITSC 2018: 759-765 - [i3]Kathy Jang, Logan Beaver, Behdad Chalaki, Ben Remer, Eugene Vinitsky, Andreas A. Malikopoulos, Alexandre M. Bayen:
Simulation to scaled city: zero-shot policy transfer for traffic control via autonomous vehicles. CoRR abs/1812.06120 (2018) - [i2]Alexandre M. Bayen, Jesse Goodman, Eugene Vinitsky:
On the Approximability of Time Disjoint Walks. CoRR abs/1812.10837 (2018) - 2017
- [c3]Cathy Wu, Aboudy Kreidieh, Eugene Vinitsky, Alexandre M. Bayen:
Emergent Behaviors in Mixed-Autonomy Traffic. CoRL 2017: 398-407 - [c2]Cathy Wu, Kanaad Parvate, Nishant Kheterpal, Leah Dickstein, Ankur Mehta, Eugene Vinitsky, Alexandre M. Bayen:
Framework for control and deep reinforcement learning in traffic. ITSC 2017: 1-8 - [c1]Cathy Wu, Eugene Vinitsky, Aboudy Kreidieh, Alexandre M. Bayen:
Multi-lane reduction: A stochastic single-lane model for lane changing. ITSC 2017: 1-8 - [i1]Cathy Wu, Aboudy Kreidieh, Kanaad Parvate, Eugene Vinitsky, Alexandre M. Bayen:
Flow: Architecture and Benchmarking for Reinforcement Learning in Traffic Control. CoRR abs/1710.05465 (2017)
Coauthor Index
aka: Nathan Lichtlé
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last updated on 2024-10-23 20:35 CEST by the dblp team
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