A priority experience replay actor-critic algorithm using self-attention mechanism for strategy optimization of discrete problems
Yuezhongyi Sun,
Boyu Yang
Abstract:In the dynamic field of deep reinforcement learning, the self-attention mechanism has been increasingly recognized. Nevertheless, its application in discrete problem domains has been relatively limited, presenting complex optimization challenges. This article introduces a pioneering deep reinforcement learning algorithm, termed Attention-based Actor-Critic with Priority Experience Replay (A2CPER). A2CPER combines the strengths of self-attention mechanisms with the Actor-Critic framework and prioritized experie… Show more
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