Eugene Vinitsky

51 papers A* 6C 1Misc 2Journal 33Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Building reliable sim driving agents by scaling self-play. CoRR Daphne Cornelisse, Aarav Pandya, Kevin Joseph, Joseph Suárez, Eugene Vinitsky
2025	J	`jnl`	Decentralized Aerial Manipulation of a Cable-Suspended Load using Multi-Agent Reinforcement Learning. CoRR Jack Zeng, Andreu Matoses Gimenez, Eugene Vinitsky, Javier Alonso-Mora, Sihao Sun
2025	J	`jnl`	Estimating cognitive biases with attention-aware inverse planning. CoRR Sounak Banerjee, Daphne Cornelisse, Deepak Edakkattil Gopinath, Emily Sumner, Jonathan A. DeCastro, Guy Rosman, Eugene Vinitsky, Mark K. Ho
2025	J	`jnl`	Extending Test-Time Scaling: A 3D Perspective with Context, Batch, and Turn. CoRR Chao Yu, Qixin Tan, Jiaxuan Gao, Shi Yu, Hong Lu, Xinting Yang, Zelai Xu, Yu Wang, Yi Wu, Eugene Vinitsky
2025	A*	`conf`	GPUDrive: Data-driven, multi-agent driving simulation at 1 million FPS. ICLR Saman Kazemkhani, Aarav Pandya, Daphne Cornelisse, Brennan Shacklett, Eugene Vinitsky
2025	J	`jnl`	Reevaluating Policy Gradient Methods for Imperfect-Information Games. CoRR Max Rudolph, Nathan Lichtle, Sobhan Mohammadpour, Alexandre M. Bayen, J. Zico Kolter, Amy Zhang, Gabriele Farina, Eugene Vinitsky, Samuel Sokota
2025	A*	`conf`	Robust Autonomy Emerges from Self-Play. ICML Marco Francis Cusumano-Towner, David Hafner, Alexander Hertzberg, Brody Huval, Aleksei Petrenko, Eugene Vinitsky, Erik Wijmans, Taylor W. Killian, Stuart Bowers, Ozan Sener, Philipp Krähenbühl, Vladlen Koltun
2025	J	`jnl`	Robust Autonomy Emerges from Self-Play. CoRR Marco F. Cusumano-Towner, David Hafner, Alexander Hertzberg, Brody Huval, Aleksei Petrenko, Eugene Vinitsky, Erik Wijmans, Taylor W. Killian, Stuart Bowers, Ozan Sener, Philipp Krähenbühl, Vladlen Koltun
2025	J	`jnl`	Superhuman AI for Stratego Using Self-Play Reinforcement Learning and Test-Time Search. CoRR Samuel Sokota, Eugene Vinitsky, Hengyuan Hu, J. Zico Kolter, Gabriele Farina
2025	J	`jnl`	Video Game Level Design as a Multi-Agent Reinforcement Learning Problem. CoRR Sam Earle, Zehua Jiang, Eugene Vinitsky, Julian Togelius
2024	J	`jnl`	Few-shot In-Context Preference Learning Using Large Language Models. CoRR Chao Yu, Hong Lu, Jiaxuan Gao, Qixin Tan, Xinting Yang, Yu Wang, Yi Wu, Eugene Vinitsky
2024	J	`jnl`	From Sim to Real: A Pipeline for Training and Deploying Traffic Smoothing Cruise Controllers. IEEE Trans. Robotics 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
2024	J	`jnl`	GPUDrive: Data-driven, multi-agent driving simulation at 1 million FPS. CoRR Saman Kazemkhani, Aarav Pandya, Daphne Cornelisse, Brennan Shacklett, Eugene Vinitsky
2024	J	`jnl`	Human-compatible driving agents through data-regularized self-play reinforcement learning. RLJ Daphne Cornelisse, Eugene Vinitsky
2024	J	`jnl`	Human-compatible driving partners through data-regularized self-play reinforcement learning. CoRR Daphne Cornelisse, Eugene Vinitsky
2024	J	`jnl`	Reinforcement Learning Based Oscillation Dampening: Scaling up Single-Agent RL algorithms to a 100 AV highway field operational test. CoRR 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
2024	J	`jnl`	Traffic Control via Connected and Automated Vehicles: An Open-Road Field Experiment with 100 CAVs. CoRR 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
2024	J	`jnl`	Traffic Smoothing Controllers for Autonomous Vehicles Using Deep Reinforcement Learning and Real-World Trajectory Data. CoRR Nathan Lichtlé, Kathy Jang, Adit Shah, Eugene Vinitsky, Jonathan W. Lee, Alexandre M. Bayen
2023	J	`jnl`	Optimizing Mixed Autonomy Traffic Flow with Decentralized Autonomous Vehicles and Multi-Agent Reinforcement Learning. ACM Trans. Cyber Phys. Syst. Eugene Vinitsky, Nathan Lichtlé, Kanaad Parvate, Alexandre M. Bayen
2023	—	`conf`	Stabilizing Unsupervised Environment Design with a Learned Adversary. CoLLAs Ishita Mediratta, Minqi Jiang, Jack Parker-Holder, Michael Dennis, Eugene Vinitsky, Tim Rocktäschel
2023	J	`jnl`	Stabilizing Unsupervised Environment Design with a Learned Adversary. CoRR Ishita Mediratta, Minqi Jiang, Jack Parker-Holder, Michael Dennis, Eugene Vinitsky, Tim Rocktäschel
2023	—	`conf`	Traffic Smoothing Controllers for Autonomous Vehicles Using Deep Reinforcement Learning and Real-World Trajectory Data. ITSC Nathan Lichtlé, Kathy Jang, Adit Shah, Eugene Vinitsky, Jonathan W. Lee, Alexandre M. Bayen
2023	J	`jnl`	Unified Automatic Control of Vehicular Systems With Reinforcement Learning. IEEE Trans Autom. Sci. Eng. Zhongxia Yan, Abdul Rahman Kreidieh, Eugene Vinitsky, Alexandre M. Bayen, Cathy Wu
2022	A*	`conf`	Deploying Traffic Smoothing Cruise Controllers Learned from Trajectory Data. ICRA Nathan Lichtlé, Eugene Vinitsky, Matthew Nice, Benjamin Seibold, Dan Work, Alexandre M. Bayen
2022	J	`jnl`	Flow: A Modular Learning Framework for Mixed Autonomy Traffic. IEEE Trans. Robotics Cathy Wu, Abdul Rahman Kreidieh, Kanaad Parvate, Eugene Vinitsky, Alexandre M. Bayen
2022	—	`—`	From sim-to-real: learning and deploying autonomous vehicle controllers that improve transportation metrics Eugene Vinitsky
2022	A*	`conf`	Nocturne: a scalable driving benchmark for bringing multi-agent learning one step closer to the real world. NeurIPS Eugene Vinitsky, Nathan Lichtlé, Xiaomeng Yang, Brandon Amos, Jakob N. Foerster
2022	J	`jnl`	Nocturne: a scalable driving benchmark for bringing multi-agent learning one step closer to the real world. CoRR Eugene Vinitsky, Nathan Lichtlé, Xiaomeng Yang, Brandon Amos, Jakob N. Foerster
2022	J	`jnl`	On the approximability of Time Disjoint Walks. J. Comb. Optim. Alexandre M. Bayen, Jesse Goodman, Eugene Vinitsky
2022	A*	`conf`	The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games. NeurIPS Chao Yu, Akash Velu, Eugene Vinitsky, Jiaxuan Gao, Yu Wang, Alexandre M. Bayen, Yi Wu
2022	J	`jnl`	Unified Automatic Control of Vehicular Systems with Reinforcement Learning. CoRR Zhongxia Yan, Abdul Rahman Kreidieh, Eugene Vinitsky, Alexandre M. Bayen, Cathy Wu
2021	J	`jnl`	A learning agent that acquires social norms from public sanctions in decentralized multi-agent settings. CoRR Eugene Vinitsky, Raphael Köster, John P. Agapiou, Edgar A. Duéñez-Guzmán, Alexander Sasha Vezhnevets, Joel Z. Leibo
2021	—	`conf`	Fuel Consumption Reduction of Multi-Lane Road Networks using Decentralized Mixed-Autonomy Control. ITSC Nathan Lichtlé, Eugene Vinitsky, George Gunter, Akash Velu, Alexandre M. Bayen
2021	J	`jnl`	Integrated Framework of Vehicle Dynamics, Instabilities, Energy Models, and Sparse Flow Smoothing Controllers. CoRR 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
2021	J	`jnl`	The Surprising Effectiveness of MAPPO in Cooperative, Multi-Agent Games. CoRR Chao Yu, Akash Velu, Eugene Vinitsky, Yu Wang, Alexandre M. Bayen, Yi Wu
2020	A*	`conf`	Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design. NeurIPS Michael Dennis, Natasha Jaques, Eugene Vinitsky, Alexandre M. Bayen, Stuart Russell, Andrew Critch, Sergey Levine
2020	J	`jnl`	Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design. CoRR Michael Dennis, Natasha Jaques, Eugene Vinitsky, Alexandre M. Bayen, Stuart Russell, Andrew Critch, Sergey Levine
2020	J	`jnl`	Optimizing Mixed Autonomy Traffic Flow With Decentralized Autonomous Vehicles and Multi-Agent RL. CoRR Eugene Vinitsky, Nathan Lichtle, Kanaad Parvate, Alexandre M. Bayen
2020	J	`jnl`	Robust Reinforcement Learning using Adversarial Populations. CoRR Eugene Vinitsky, Yuqing Du, Kanaad Parvate, Kathy Jang, Pieter Abbeel, Alexandre M. Bayen
2020	—	`conf`	Zero-Shot Autonomous Vehicle Policy Transfer: From Simulation to Real-World via Adversarial Learning. ICCA Behdad Chalaki, Logan E. Beaver, Ben Remer, Kathy Jang, Eugene Vinitsky, Alexandre M. Bayen, Andreas A. Malikopoulos
2019	—	`conf`	Simulation to scaled city: zero-shot policy transfer for traffic control via autonomous vehicles. ICCPS Kathy Jang, Eugene Vinitsky, Behdad Chalaki, Ben Remer, Logan Beaver, Andreas A. Malikopoulos, Alexandre M. Bayen
2019	J	`jnl`	Zero-Shot Autonomous Vehicle Policy Transfer: From Simulation to Real-World via Adversarial Learning. CoRR Behdad Chalaki, Logan Beaver, Ben Remer, Kathy Jang, Eugene Vinitsky, Alexandre M. Bayen, Andreas A. Malikopoulos
2018	Misc	`conf`	Benchmarks for reinforcement learning in mixed-autonomy traffic. CoRL Eugene Vinitsky, Aboudy Kreidieh, Luc Le Flem, Nishant Kheterpal, Kathy Jang, Cathy Wu, Fangyu Wu, Richard Liaw, Eric Liang, Alexandre M. Bayen
2018	—	`conf`	Lagrangian Control through Deep-RL: Applications to Bottleneck Decongestion. ITSC Eugene Vinitsky, Kanaad Parvate, Aboudy Kreidieh, Cathy Wu, Alexandre M. Bayen
2018	C	`conf`	On the Approximability of Time Disjoint Walks. COCOA Alexandre M. Bayen, Jesse Goodman, Eugene Vinitsky
2018	J	`jnl`	On the Approximability of Time Disjoint Walks. CoRR Alexandre M. Bayen, Jesse Goodman, Eugene Vinitsky
2018	J	`jnl`	Simulation to scaled city: zero-shot policy transfer for traffic control via autonomous vehicles. CoRR Kathy Jang, Logan Beaver, Behdad Chalaki, Ben Remer, Eugene Vinitsky, Andreas A. Malikopoulos, Alexandre M. Bayen
2017	Misc	`conf`	Emergent Behaviors in Mixed-Autonomy Traffic. CoRL Cathy Wu, Aboudy Kreidieh, Eugene Vinitsky, Alexandre M. Bayen
2017	J	`jnl`	Flow: Architecture and Benchmarking for Reinforcement Learning in Traffic Control. CoRR Cathy Wu, Aboudy Kreidieh, Kanaad Parvate, Eugene Vinitsky, Alexandre M. Bayen
2017	—	`conf`	Framework for control and deep reinforcement learning in traffic. ITSC Cathy Wu, Kanaad Parvate, Nishant Kheterpal, Leah Dickstein, Ankur Mehta, Eugene Vinitsky, Alexandre M. Bayen
2017	—	`conf`	Multi-lane reduction: A stochastic single-lane model for lane changing. ITSC Cathy Wu, Eugene Vinitsky, Aboudy Kreidieh, Alexandre M. Bayen