Vinitsky, Eugene

Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design

Dennis, M., Jaques, N., Vinitsky, E., Bayen, A., Russell, S., Critch, A., & Levine, S. (2020) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 60

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

Vinitsky, E., Lichtlé, N., Parvate, K., & Bayen, A. (2023) · ACM Transactions on Cyber-Physical Systems

Traffic control and managementAutonomous Vehicle Technology and Safety

Cited by 19

A learning agent that acquires social norms from public sanctions in decentralized multi-agent settings

Vinitsky, E., Köster, R., Agapiou, J. P., Duéñez-Guzmán, E., Vezhnevets, A. S., & Leibo, J. Z. (2021) · arXiv

Multi-Agent Systems and NegotiationReinforcement Learning in Robotics

Cited by 2

Stabilizing Unsupervised Environment Design with a Learned Adversary

Mediratta, I., Jiang, M., Parker-Holder, J., Dennis, M., Vinitsky, E., & Rocktäschel, T. (2023) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 1