Multi-Agent Exploration

Multi-Agent Exploration-Exploitation Balance

Fundamental dilemma in multi-agent reinforcement learning where agents must decide between discovering new strategies or exploiting acquired knowledge, while taking into account inter-agent interactions. Complexity increases exponentially with the number of agents in the system.

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