Hindsight-aware deep reinforcement learning algorithm for multi-agent systems

Classic reinforcement learning algorithms generate experiences by the agent's constant trial and error, which leads to a large number of failure experiences stored in the replay buffer. As a result, the agents can only learn through these low-quality experiences. In the case of multi-agent syst...

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