28 citations · 64 across the 11 of their papers we have counts for
1 paper · 2 filters
Alex Tong Lin, Mark J. Debord, Katia Estabridis +3
We consider a multi-agent reinforcement learning problem where each agent seeks to maximize a shared reward while interacting with other agents, and they may or may not be able to…