Jason Traish

Regularize! Don't Mix: Multi-Agent Reinforcement Learning without\n Explicit Centralized Structures

2021 · arXiv (Cornell University)

We propose using regularization for Multi-Agent Reinforcement Learning rather\nthan learning explicit cooperative structures called {\\em Multi-Agent\nRegularized Q-learning} (MARQ). Many MARL approaches leverage centralized\nstructures in order to exploit global state information or removing\ncommunication constraints when the …