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Eugene Vinitsky is a PhD student at UC Berkeley advised by Alexandre Bayen. He has interned at Tesla and Deepmind.
Featured References 
A learning agent that acquires social norms from public sanctions in decentralized multi-agent settings 
Eugene Vinitsky, Raphael Köster, John P. Agapiou, Edgar Duéñez-Guzmán, Alexander Sasha Vezhnevets, Joel Z. Leibo 
Optimizing Mixed Autonomy Traffic Flow With Decentralized Autonomous Vehicles and Multi-Agent RL 
Eugene Vinitsky, Nathan Lichtle, Kanaad Parvate, Alexandre Bayen 
Lagrangian Control through Deep-RL: Applications to Bottleneck Decongestion 
Eugene Vinitsky; Kanaad Parvate; Aboudy Kreidieh; Cathy Wu; Alexandre Bayen 2018 
The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games 
Chao Yu, Akash Velu, Eugene Vinitsky, Yu Wang, Alexandre Bayen, Yi Wu 
Additional References 
 By Robin Ranjit Singh Chauhan
By Robin Ranjit Singh Chauhan4.9
2929 ratings
Eugene Vinitsky is a PhD student at UC Berkeley advised by Alexandre Bayen. He has interned at Tesla and Deepmind.
Featured References 
A learning agent that acquires social norms from public sanctions in decentralized multi-agent settings 
Eugene Vinitsky, Raphael Köster, John P. Agapiou, Edgar Duéñez-Guzmán, Alexander Sasha Vezhnevets, Joel Z. Leibo 
Optimizing Mixed Autonomy Traffic Flow With Decentralized Autonomous Vehicles and Multi-Agent RL 
Eugene Vinitsky, Nathan Lichtle, Kanaad Parvate, Alexandre Bayen 
Lagrangian Control through Deep-RL: Applications to Bottleneck Decongestion 
Eugene Vinitsky; Kanaad Parvate; Aboudy Kreidieh; Cathy Wu; Alexandre Bayen 2018 
The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games 
Chao Yu, Akash Velu, Eugene Vinitsky, Yu Wang, Alexandre Bayen, Yi Wu 
Additional References 

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