Multi-Agent Constrained Policy Optimisation

Shangding Gu, Jakub Grudzien Kuba, Munning Wen +6

Developing reinforcement learning algorithms that satisfy safety constraints is becoming increasingly important in real-world applications. In multi-agent reinforcement learning (M…