DePAint: A Decentralized Safe Multi-Agent Reinforcement Learning Algorithm considering Peak and Average Constraints

1 code implementation • 22 Oct 2023 • Raheeb Hassan, K. M. Shadman Wadith, Md. Mamun or Rashid, Md. Mosaddek Khan

In this paper, we address the problem of multi-agent policy optimization in a decentralized setting, where agents communicate with their neighbors to maximize the sum of their cumulative rewards while also satisfying each agent's safety constraints.

Multi-agent Reinforcement Learning Privacy Preserving +1