
Sign up to save your podcasts
Or


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 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

30,666 Listeners

26,250 Listeners

2,447 Listeners

1,093 Listeners

301 Listeners

4,170 Listeners

208 Listeners

202 Listeners

10,182 Listeners

99 Listeners

576 Listeners

5,530 Listeners

143 Listeners

101 Listeners

682 Listeners