Abstract: This paper aims to explore a new hybrid algorithm that combines the advantages of Q-learning and Deep Deterministic Policy Gradient (Deep Deterministic Policy Gradient, DDPG) algorithms to ...
Abstract: Existing approaches often operate poorly in noisy or occluded conditions, rely on cloud-based inference subject to latency and privacy issues, and do not take emotional context into ...
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