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Found 2 papers, 1 papers with code
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles
In this paper, we synergize these two paradigms and propose a role-oriented MARL framework (ROMA).
Multiagent Systems
A Multiagent Reinforcement Learning Algorithm with Non-linear Dynamics
We analyze our algorithm in two-player-two-action games and show that symbolically proving WPLs convergence is difficult, because of the non-linear nature of WPLs dynamics, unlike previous MARL algorithms that had either linear or piece-wise-linear dynamics.
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