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Eugene Vinitsky

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Traffic Smoothing Controllers for Autonomous Vehicles Using Deep Reinforcement Learning and Real-World Trajectory Data

Jan 18, 2024
Nathan Lichtlé, Kathy Jang, Adit Shah, Eugene Vinitsky, Jonathan W. Lee, Alexandre M. Bayen

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Stabilizing Unsupervised Environment Design with a Learned Adversary

Aug 22, 2023
Ishita Mediratta, Minqi Jiang, Jack Parker-Holder, Michael Dennis, Eugene Vinitsky, Tim Rocktäschel

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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

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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

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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

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