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Showing 1 to 1 of 1 for “"Information Exchanges in Multi-Agent Systems"”.
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Non-Reciprocating Sharing Methods in Cooperative Q-Learning Environments
Past research on multi-agent simulation with cooperative reinforcement learning (RL) for homogeneous agents focuses on developing sharing strategies that are adopted and used by all agents in the environment. These sharing strategies are considered to be reciprocating because all participating …