arXiv:2605.04100v1 Announce Type: new Abstract: Off-policy temporal-difference (TD) learning with function approximation faces a structural tradeoff among stability, projection
arXiv:2605.28849v1 Announce Type: new Abstract: Gradient temporal-difference methods provide stable off-policy prediction with linear function approximation, but their practical
arXiv:2605.04368v1 Announce Type: cross Abstract: Differential temporal difference (TD) methods are value-based reinforcement learning algorithms that have been proposed for
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