Eugene Vinitsky

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Weighted list of dominant concepts in the person's research.

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12 Conference contribution
10 Article
4 Preprint
3 Conference article

Reinforcement Learning-Based Oscillation Dampening: Scaling Up Single-Agent Reinforcement Learning Algorithms to a 100-Autonomous-Vehicle Highway Field Operational Test
Jang, K., Lichtle, N., Vinitsky, E., Shah, A., Bunting, M., Nice, M., Piccoli, B., Seibold, B., Work, D. B., Delle Monache, M. L., Sprinkle, J., Lee, J. W. & Bayen, A. M., 2025, In: IEEE Control Systems. 45, 1, p. 61-94 34 p.
Research output: Contribution to journal › Article › peer-review
Traffic Control via Connected and Automated Vehicles (CAVs): An Open-Road Field Experiment with 100 CAVs
Lee, J. W., Wang, H., Jang, K., Lichtle, N., Hayat, A., Bunting, M., Alanqary, A., Barbour, W., Fu, Z., Gong, X., Gunter, G., Hornstein, S., Kreidieh, A. R., Nice, M. T. W., Richardson, W. A., Shah, A., Vinitsky, E., Wu, F., Xiang, S. & Almatrudi, S. & 44 others, Althukair, F., Bhadani, R., Carpio, J., Chekroun, R., Cheng, E., Chiri, M. T., Chou, F. C., Delorenzo, R., Gibson, M., Gloudemans, D., Gollakota, A., Ji, J., Keimer, A., Khoudari, N., Mahmood, M., Mahmood, M., Matin, H. N. Z., Mcquade, S., Ramadan, R., Urieli, D., Wang, X., Wang, Y., Xu, R., Yao, M., You, Y., Zachar, G., Zhao, Y., Ameli, M., Baig, M. N., Bhaskaran, S., Butts, K., Gowda, M., Janssen, C., Lee, J., Pedersen, L., Wagner, R., Zhang, Z., Zhou, C., Work, D. B., Seibold, B., Sprinkle, J., Piccoli, B., Monache, M. L. D. & Bayen, A. M., 2025, In: IEEE Control Systems. 45, 1, p. 28-60 33 p.
Research output: Contribution to journal › Article › peer-review
From Sim to Real: A Pipeline for Training and Deploying Traffic Smoothing Cruise Controllers
Lichtle, N., Vinitsky, E., Nice, M., Bhadani, R., Bunting, M., Wu, F., Piccoli, B., Seibold, B., Work, D. B., Lee, J. W., Sprinkle, J. & Bayen, A. M., 2024, In: IEEE Transactions on Robotics. 40, p. 4490-4505 16 p.
Research output: Contribution to journal › Article › peer-review
Optimizing Mixed Autonomy Traffic Flow with Decentralized Autonomous Vehicles and Multi-Agent Reinforcement Learning
Vinitsky, E., Lichtle, N., Parvate, K. & Bayen, A., Apr 19 2023, In: ACM Transactions on Cyber-Physical Systems. 7, 2, p. 1-22 22 p.
Research output: Contribution to journal › Article › peer-review

Open Access
STABILIZING UNSUPERVISED ENVIRONMENT DESIGN WITH A LEARNED ADVERSARY
Mediratta, I., Jiang, M., Parker-Holder, J., Dennis, M., Vinitsky, E. & Rocktaschel, T., 2023, In: Proceedings of Machine Learning Research. 232, p. 270-291 22 p.
Research output: Contribution to journal › Conference article › peer-review

Eugene Vinitsky

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Collaborations and top research areas from the last five years

Dive into details

Reinforcement Learning-Based Oscillation Dampening: Scaling Up Single-Agent Reinforcement Learning Algorithms to a 100-Autonomous-Vehicle Highway Field Operational Test

Traffic Control via Connected and Automated Vehicles (CAVs): An Open-Road Field Experiment with 100 CAVs

From Sim to Real: A Pipeline for Training and Deploying Traffic Smoothing Cruise Controllers

Optimizing Mixed Autonomy Traffic Flow with Decentralized Autonomous Vehicles and Multi-Agent Reinforcement Learning

STABILIZING UNSUPERVISED ENVIRONMENT DESIGN WITH A LEARNED ADVERSARY

Eugene Vinitsky

Fingerprint

Collaborations and top research areas from the last five years

Research output

Reinforcement Learning-Based Oscillation Dampening: Scaling Up Single-Agent Reinforcement Learning Algorithms to a 100-Autonomous-Vehicle Highway Field Operational Test

Traffic Control via Connected and Automated Vehicles (CAVs): An Open-Road Field Experiment with 100 CAVs

From Sim to Real: A Pipeline for Training and Deploying Traffic Smoothing Cruise Controllers

Optimizing Mixed Autonomy Traffic Flow with Decentralized Autonomous Vehicles and Multi-Agent Reinforcement Learning

STABILIZING UNSUPERVISED ENVIRONMENT DESIGN WITH A LEARNED ADVERSARY