Eugene Vinitsky
University of California, Berkeley
H-index: 20
North America-United States
Top articles of Eugene Vinitsky
Title | Journal | Author(s) | Publication Date |
---|---|---|---|
Reinforcement Learning Based Oscillation Dampening: Scaling up Single-Agent RL algorithms to a 100 AV highway field operational test | arXiv preprint arXiv:2402.17050 | Kathy Jang Nathan Lichtlé Eugene Vinitsky Adit Shah Matthew Bunting | 2024/2/26 |
Human-compatible driving partners through data-regularized self-play reinforcement learning | arXiv preprint arXiv:2403.19648 | Daphne Cornelisse Eugene Vinitsky | 2024/3/28 |
Traffic Control via Connected and Automated Vehicles: An Open-Road Field Experiment with 100 CAVs | arXiv preprint arXiv:2402.17043 | Jonathan W Lee Han Wang Kathy Jang Amaury Hayat Matthew Bunting | 2024/2/26 |
Stabilizing unsupervised environment design with a learned adversary | Ishita Mediratta Minqi Jiang Jack Parker-Holder Michael D Dennis Eugene Vinitsky | 2023/8/22 | |
Traffic Smoothing Controllers for Autonomous Vehicles Using Deep Reinforcement Learning and Real-World Trajectory Data | Nathan Lichtlé Kathy Jang Adit Shah Eugene Vinitsky Jonathan W Lee | 2023/9/24 | |
A learning agent that acquires social norms from public sanctions in decentralized multi-agent settings | Collective Intelligence | Eugene Vinitsky Raphael Köster John P Agapiou Edgar A Duéñez-Guzmán Alexander S Vezhnevets | 2023/5/27 |
Optimizing mixed autonomy traffic flow with decentralized autonomous vehicles and multi-agent reinforcement learning | ACM Transactions on Cyber-Physical Systems | Eugene Vinitsky Nathan Lichtlé Kanaad Parvate Alexandre Bayen | 2023/4/19 |
Nocturne: a scalable driving benchmark for bringing multi-agent learning one step closer to the real world | Advances in Neural Information Processing Systems | Eugene Vinitsky Nathan Lichtlé Xiaomeng Yang Brandon Amos Jakob Foerster | 2022/12/6 |
The surprising effectiveness of ppo in cooperative multi-agent games | Advances in Neural Information Processing Systems | Chao Yu Akash Velu Eugene Vinitsky Jiaxuan Gao Yu Wang | 2022/12/6 |
On the approximability of Time Disjoint Walks | Journal of Combinatorial Optimization | Alexandre Bayen Jesse Goodman Eugene Vinitsky | 2022/10 |
Deploying traffic smoothing cruise controllers learned from trajectory data | Nathan Lichtlé Eugene Vinitsky Matthew Nice Benjamin Seibold Dan Work | 2022/5/23 | |
Unified automatic control of vehicular systems with reinforcement learning | IEEE Transactions on Automation Science and Engineering | Zhongxia Yan Abdul Rahman Kreidieh Eugene Vinitsky Alexandre M Bayen Cathy Wu | 2022/4/29 |
From sim-to-real: learning and deploying autonomous vehicle controllers that improve transportation metrics | Eugene Aaron Vinitsky | 2022 | |
Imitation learning from pixel observations for continuous control | Deep RL workshop at NeurIPS | Samuel Cohen Brandon Amos Marc Peter Deisenroth Mikael Henaff Eugene Vinitsky | 2021/9/29 |
Fuel consumption reduction of multi-lane road networks using decentralized mixed-autonomy control | Nathan Lichtlé Eugene Vinitsky George Gunter Akash Velu Alexandre M Bayen | 2021/9/19 | |
Flow: A modular learning framework for mixed autonomy traffic | IEEE Transactions on Robotics | Cathy Wu Abdul Rahman Kreidieh Kanaad Parvate Eugene Vinitsky Alexandre M Bayen | 2021/7/16 |
Integrated framework of vehicle dynamics, instabilities, energy models, and sparse flow smoothing controllers | Jonathan W Lee George Gunter Rabie Ramadan Sulaiman Almatrudi Paige Arnold | 2021/5/18 | |
Benchmarking multi-agent deep reinforcement learning algorithms | Citizen-Centric Multiagent Systems 2023 (CMAS’23) | Emanuele Pesce Ramon Dalmau Luke Owen Giovanni Montana | 2023/5/30 |
Energy Optimization of Traffic at Scale using Reinforcement Learning | Eugene Vinitsky Nathan Lichtle Abdul Kriedieh Jonathan Lee Akash Velu | 2020/8/17 | |
Robust reinforcement learning using adversarial populations | arXiv preprint arXiv:2008.01825 | Eugene Vinitsky Yuqing Du Kanaad Parvate Kathy Jang Pieter Abbeel | 2020/8/4 |