Online Attentive Kernel-Based Off-Policy Temporal Difference Learning
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DOI: 10.3390/app142311114
Abstract: Temporal difference (TD) learning is a powerful framework for value function approximation in reinforcement learning. However, standard TD methods often struggle with feature representation and off-policy learning challenges. In this paper, we propose a novel… read more here.
Keywords: temporal difference; attentive kernel; kernel based; online attentive ... See more keywords