Multi-agent cooperation policy gradient method based on enhanced exploration for cooperative tasks

Multi-agent cooperation and coordination are often essential for task fulfillment. Multi-agent deep reinforcement learning (MADRL) can effectively learn the solutions to problems, but its application is still primarily restricted by the exploration–exploitation trade-off. Therefore, the focus of MAD...

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