Stavros Tripakis

Shield Decentralization for Safe Multi-Agent Reinforcement Learning

Learning safe solutions is an important but challenging problem in multi-agent reinforcement learning (MARL). Shielded reinforcement learning is one approach for preventing agents from choosing unsafe actions. Current shielded reinforcement learning methods for MARL make strong assumptions about com…