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

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

cs.AI2022★ 2 cited

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…