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Found 2 papers, 1 papers with code
Reaching Consensus in Cooperative Multi-Agent Reinforcement Learning with Goal Imagination
The common goal is an achievable state with high value, which is obtained by sampling from the distribution of future states.
SMIX($λ$): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement Learning
Learning a stable and generalizable centralized value function (CVF) is a crucial but challenging task in multi-agent reinforcement learning (MARL), as it has to deal with the issue that the joint action space increases exponentially with the number of agents in such scenarios.
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