AdaGamma: State-Dependent Discounting for Temporal Adaptation in Reinforcement Learning.

arXiv:2605.06149v2 Announce Type: replace-cross Abstract: The discount factor in reinforcement learning controls both the effective planning horizon and the strength of bootstrapping, yet most deep RL methods use a single fixed value across all states. State-d