E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance

Can Chang, Ni Mu, Jiajun Wu +2

A critical challenge in multi-agent reinforcement learning(MARL) is for multiple agents to efficiently accomplish complex, long-horizon tasks. The agents often have difficulties in…