Eugene Vinitsky

Profile Picture of Eugene Vinitsky
Title
Associate Professor
Department
Civil and Urban Enginering
Institution
New York University

Education

  • PhD, Mechanical Enginering, UC Berkeley

Research Interests

Multiagent Reinforcement Learning   Autonomous Vehicles, Autonomous Vehicle   Artificial Intelligence  

  View all research interests

Biography

I'm an incoming Assistant Professor at NYU Tandon in 2023 based in Civil Engineering with a PhD in control from UC Berkeley with Alexandre Bayen. My research goal is to see complex, human-like behavior emerge from unsupervised interaction between groups of learning agents with an applications focus on enabling autonomous vehicles to operate in rich scenarios. Concretely this leads to a lot of questions I'm currently interested in: How can we use RL to design models of human agents? How can we ensure that RL designed agents are human-compatible? How can we synthesize environments that push and test the capabilities of our agents? What algorithmic advances and software tools are needed to address these questions? In practice this means working on understanding how to push the state of the art in multi-agent RL algorithms, designing new data-driven simulators, and trying to deploy simulator-designed controllers into real-world systems. I've spent time at Tesla, Deepmind, Facebook AI Research, Apple Special Projects and am a recipient of an NSF fellowship.

Homepages

Contact Information

  1237 Guerrero Street, San Francisco, CA, 94110

  2032520969

Research
Not mentioned yet. (?)
List of Publications (44)
In 2024
44

Human-compatible driving partners through data-regularized self-play reinforcement learning. D Cornelisse, E Vinitsky arXiv preprint arXiv:2403.19648, 2024.

Found on Publication Page
43

GPUDrive: Data-driven, multi-agent driving simulation at 1 million FPS. S Kazemkhani, A Pandya, D Cornelisse, B Shacklett, E Vinitsky arXiv preprint arXiv:2408.01584, 2024.

Found on Publication Page
42

Traffic control via connected and automated vehicles: An open-road field experiment with 100 cavs. JW Lee, H Wang, K Jang, A Hayat, M Bunting, A Alanqary, W Barbour, ... arXiv preprint arXiv:2402.17043, 2024.

Found on Publication Page
41

Reinforcement Learning Based Oscillation Dampening: Scaling up Single-Agent RL algorithms to a 100 AV highway field operational test. K Jang, N Lichtle , E Vinitsky, A Shah, M Bunting, M Nice, B Piccoli, ... arXiv preprint arXiv:2402.17050, 2024.

Found on Publication Page
40

Few-shot In-Context Preference Learning Using Large Language Models. C Yu, H Lu, J Gao, Q Tan, X Yang, Y Wang, Y Wu, E Vinitsky arXiv preprint arXiv:2410.17233, 2024.

Found on Publication Page
39

Traffic Control via Connected and Automated Vehicles. JW LEE, HAN WANG, K JANG, N LICHTLE , A HAYAT, A ALANQARY, ... arXiv preprint arXiv:2402.17043, 2024.

Found on Publication Page
38

From Sim to Real: A Pipeline for Training and Deploying Traffic Smoothing Cruise Controllers. N Lichtle , E Vinitsky, M Nice, R Bhadani, M Bunting, F Wu, B Piccoli, ... IEEE Transactions on Robotics, 2024.

Found on Publication Page
In 2023
37

Traffic smoothing controllers for autonomous vehicles using deep reinforcement learning and real-world trajectory data. N Lichtle , K Jang, A Shah, E Vinitsky, JW Lee, AM Bayen 2023 IEEE 26th International Conference on Intelligent Transportation ..., 2023.

Found on Publication Page
36

Optimizing mixed autonomy traffic flow with decentralized autonomous vehicles and multi-agent reinforcement learning. E Vinitsky, N Lichtle , K Parvate, A Bayen ACM Transactions on Cyber-Physical Systems 7 (2), 1-22, 2023.

Found on Publication Page
35

Stabilizing unsupervised environment design with a learned adversary. I Mediratta, M Jiang, J Parker-Holder, M Dennis, E Vinitsky, T Rockta schel Conference on Lifelong Learning Agents, 270-291, 2023.

Found on Publication Page
34

A learning agent that acquires social norms from public sanctions in decentralized multi-agent settings. E Vinitsky, R Ko ster, JP Agapiou, EA Due n ez-Guzma n, AS Vezhnevets, ... Collective Intelligence 2 (2), 26339137231162025, 2023.

Found on Publication Page
In 2022
33

Nocturne: a scalable driving benchmark for bringing multi-agent learning one step closer to the real world. E Vinitsky, N Lichtle , X Yang, B Amos, J Foerster Advances in Neural Information Processing Systems 35, 3962-3974, 2022.

Found on Publication Page
32

Unified automatic control of vehicular systems with reinforcement learning. Z Yan, AR Kreidieh, E Vinitsky, AM Bayen, C Wu IEEE Transactions on Automation Science and Engineering 20 (2), 789-804, 2022.

Found on Publication Page
31

On the approximability of time disjoint walks. A Bayen, J Goodman, E Vinitsky Journal of Combinatorial Optimization 44 (3), 1615-1636, 2022.

Found on Publication Page
30

Deploying traffic smoothing cruise controllers learned from trajectory data. N Lichtle , E Vinitsky, M Nice, B Seibold, D Work, AM Bayen 2022 International Conference on Robotics and Automation (ICRA), 2884-2890, 2022.

Found on Publication Page
29

From sim-to-real: learning and deploying autonomous vehicle controllers that improve transportation metrics. E Vinitsky University of California, Berkeley, 2022.

Found on Publication Page
28

The surprising effectiveness of ppo in cooperative multi-agent games. C Yu, A Velu, E Vinitsky, J Gao, Y Wang, A Bayen, Y Wu Advances in Neural Information Processing Systems 35, 24611-24624, 2022.

Found on Publication Page
In 2021
27

Integrated framework of vehicle dynamics, instabilities, energy models, and sparse flow smoothing controllers. JW Lee, G Gunter, R Ramadan, S Almatrudi, P Arnold, J Aquino, ... Proceedings of the Workshop on Data-Driven and Intelligent Cyber-Physical ..., 2021.

Found on Publication Page
26

The i-24 trajectory dataset. M Nice, N Lichtle, G Gumm, M Roman, E Vinitsky, S Elmadani, M Bunting, ... Vanderbilt Univ., Nashville, TN (United States); University of California ..., 2021.

Found on Publication Page
25

Flow: A modular learning framework for mixed autonomy traffic. C Wu, AR Kreidieh, K Parvate, E Vinitsky, AM Bayen IEEE Transactions on Robotics 38 (2), 1270-1286, 2021.

Found on Publication Page
24

Fuel consumption reduction of multi-lane road networks using decentralized mixed-autonomy control. N Lichtle , E Vinitsky, G Gunter, A Velu, AM Bayen 2021 IEEE International Intelligent Transportation Systems Conference (ITSC ..., 2021.

Found on Publication Page
23

Imitation learning from pixel observations for continuous control. S Cohen, B Amos, MP Deisenroth, M Henaff, E Vinitsky, D Yarats .

Found on Publication Page
In 2020
22

Emergent complexity and zero-shot transfer via unsupervised environment design. M Dennis, N Jaques, E Vinitsky, A Bayen, S Russell, A Critch, S Levine Advances in neural information processing systems 33, 13049-13061, 2020.

Found on Publication Page
21

Robust reinforcement learning using adversarial populations. E Vinitsky, Y Du, K Parvate, K Jang, P Abbeel, A Bayen arXiv preprint arXiv:2008.01825, 2020.

Found on Publication Page
20

Optimizing mixed autonomy traffic flow with decentralized autonomous vehicles and multi-agent rl. E Vinitsky, N Lichtle, K Parvate, A Bayen arXiv preprint arXiv:2011.00120, 2020.

Found on Publication Page
19

Benchmarking multi-agent deep reinforcement learning algorithms. C Yu, A Velu, E Vinitsky, Y Wang, A Bayen, Y Wu .

Found on Publication Page
18

Energy Optimization of Traffic at Scale using Reinforcement Learning. E Vinitsky, N Lichtle, A Kriedieh, J Lee, A Velu, S Almatrudi, J Carpio, ... Regents Of The University Of California, The", 2020.

Found on Publication Page
17

Zero-shot autonomous vehicle policy transfer: From simulation to real-world via adversarial learning. B Chalaki, LE Beaver, B Remer, K Jang, E Vinitsky, AM Bayen, ... 2020 IEEE 16th international conference on control & automation (ICCA), 35-40, 2020.

Found on Publication Page
In 2019
16

Simulation to scaled city: zero-shot policy transfer for traffic control via autonomous vehicles. K Jang, E Vinitsky, B Chalaki, B Remer, L Beaver, AA Malikopoulos, ... Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical ..., 2019.

Found on Publication Page
15

An open source implementation of sequential social dilemma games. E Vinitsky, N Jaques, J Leibo, A Castenada, E Hughes GitHub, 2019.

Found on Publication Page
In 2018
14

Benchmarks for reinforcement learning in mixed-autonomy traffic. E Vinitsky, A Kreidieh, L Le Flem, N Kheterpal, K Jang, C Wu, F Wu, ... Conference on robot learning, 399-409, 2018.

Found on Publication Page
13

Lagrangian control through deep-rl: Applications to bottleneck decongestion. E Vinitsky, K Parvate, A Kreidieh, C Wu, A Bayen 2018 21st International Conference on Intelligent Transportation Systems ..., 2018.

Found on Publication Page
12

Flow: Deep reinforcement learning for control in sumo. N Kheterpal, K Parvate, C Wu, A Kreidieh, E Vinitsky, A Bayen EPiC Series in Engineering 2, 134-151, 2018.

Found on Publication Page
11

Flow: Open source reinforcement learning for traffic control. N Kheterpal, E Vinitsky, C Wu, A Kreidieh, K Jang, K Parvate, A Bayen .

Found on Publication Page
In 2017
10

Flow: Architecture and benchmarking for reinforcement learning in traffic control. C Wu, A Kreidieh, K Parvate, E Vinitsky, AM Bayen arXiv preprint arXiv:1710.05465 10, 2017.

Found on Publication Page
9

Emergent behaviors in mixed-autonomy traffic. C Wu, A Kreidieh, E Vinitsky, AM Bayen Conference on Robot Learning, 398-407, 2017.

Found on Publication Page
8

Framework for control and deep reinforcement learning in traffic. C Wu, K Parvate, N Kheterpal, L Dickstein, A Mehta, E Vinitsky, AM Bayen 2017 IEEE 20th International Conference on Intelligent Transportation ..., 2017.

Found on Publication Page
7

Multi-lane reduction: A stochastic single-lane model for lane changing. C Wu, E Vinitsky, A Kreidieh, A Bayen 2017 IEEE 20th International Conference on Intelligent Transportation ..., 2017.

Found on Publication Page
6

Flow: A modular learning framework for autonomy in traffic. C Wu, A Kreidieh, K Parvate, E Vinitsky, AM Bayen arXiv preprint arXiv:1710.05465, 2017.

Found on Publication Page
In 2016
5

Structural, vibrational, and electronic properties of BaReH9 under pressure. EA Vinitsky, T Muramatsu, M Somayazulu, WK Wanene, Z Liu, D Chandra, ... Journal of Physics: Condensed Matter 28 (50), 505701, 2016.

Found on Publication Page
In 2015
4

Metallization and Superconductivity in the Hydrogen-Rich Ionic Salt BaReH9. T Muramatsu, WK Wanene, M Somayazulu, E Vinitsky, D Chandra, ... The Journal of Physical Chemistry C 119 (32), 18007-18013, 2015.

Found on Publication Page
3

Particle dynamics in damped nonlinear quadrupole ion traps. EA Vinitsky, ED Black, KG Libbrecht American Journal of Physics 83 (4), 313-319, 2015.

Found on Publication Page
Unspecified
2

Extracting Traffic Smoothing Controllers Directly From Driving Data using Offline RL. T Ardoin, ENS Paris-Saclay, E Vinitsky, A Bayen .

Found on Publication Page
1

Automatic Curriculum Generation and Emergent Complexity via Inter-agent Competition. E Vinitsky, BA Fickinger, BN Jaques, I Mordatch .

Found on Publication Page
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