Tag: MAPPO

A new benchmark called MATE-Hard shows that cooperative multi-agent reinforcement learning policies lose roughly half their advantage over random behavior ...

Researchers in China have developed RAUD-MAPPO, a role-aware and uncertainty-driven multi-agent reinforcement learning framework that raises win rates and enables ...

Researchers have developed H3C-BEACON, a unified multi-agent reinforcement learning framework that jointly integrates communication, Bayesian belief inference, adaptive coalition formation, ...