Research map / Multi-agent systems and games / Cooperative multi-agent RL
Toward Efficient Multi-Agent Exploration With Trajectory Entropy Maximization
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Proposes trajectory entropy maximization for efficient exploration in parameter-shared multi-agent RL, to counter similar behaviors among agents.
Problem
Parameter sharing in decentralized MARL policies can impede exploration because agents tend to behave similarly.
Approach
Instead of prior mutual-information-based diversity objectives, maximizes the entropy of agent trajectories to encourage efficient multi-agent exploration under shared parameters (abstract only; details unavailable).
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