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Unified Automatic Control of Vehicular Systems with Reinforcement Learning


Jul 30, 2022
Zhongxia Yan, Abdul Rahman Kreidieh, Eugene Vinitsky, Alexandre M. Bayen, Cathy Wu

* 16 pages, 14 figures, IEEE Transactions on Automation Science and Engineering (T-ASE), 2022 

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Nocturne: a scalable driving benchmark for bringing multi-agent learning one step closer to the real world


Jun 20, 2022
Eugene Vinitsky, Nathan Lichtlé, Xiaomeng Yang, Brandon Amos, Jakob Foerster


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The Surprising Effectiveness of MAPPO in Cooperative, Multi-Agent Games


Mar 02, 2021
Chao Yu, Akash Velu, Eugene Vinitsky, Yu Wang, Alexandre Bayen, Yi Wu


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Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design


Dec 03, 2020
Michael Dennis, Natasha Jaques, Eugene Vinitsky, Alexandre Bayen, Stuart Russell, Andrew Critch, Sergey Levine


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Optimizing Mixed Autonomy Traffic Flow With Decentralized Autonomous Vehicles and Multi-Agent RL


Oct 30, 2020
Eugene Vinitsky, Nathan Lichtle, Kanaad Parvate, Alexandre Bayen


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Robust Reinforcement Learning using Adversarial Populations


Aug 04, 2020
Eugene Vinitsky, Yuqing Du, Kanaad Parvate, Kathy Jang, Pieter Abbeel, Alexandre Bayen


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Simulation to Scaled City: Zero-Shot Policy Transfer for Traffic Control via Autonomous Vehicles


Feb 22, 2019
Kathy Jang, Eugene Vinitsky, Behdad Chalaki, Ben Remer, Logan Beaver, Andreas Malikopoulos, Alexandre Bayen

* To be published at the International Conference on Cyber Physical Systems (ICCPS) 2019. 10 pages, 9 figures 

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Simulation to scaled city: zero-shot policy transfer for traffic control via autonomous vehicles


Dec 14, 2018
Kathy Jang, Logan Beaver, Behdad Chalaki, Ben Remer, Eugene Vinitsky, Andreas Malikopoulos, Alexandre Bayen

* In submission at the International Conference on Cyber Physical Systems (ICCPS) 2019. 9 pages, 9 figures 

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Flow: Architecture and Benchmarking for Reinforcement Learning in Traffic Control


Oct 16, 2017
Cathy Wu, Aboudy Kreidieh, Kanaad Parvate, Eugene Vinitsky, Alexandre M Bayen


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