Tamer Başar

Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning

This paper deals with distributed reinforcement learning problems with safety constraints. In particular, we consider that a team of agents cooperate in a shared environment, where each agent has its individual reward function and safety constraints that involve all agents' joint actions. As such, t…