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Regularized Centered Emphatic Temporal Difference Learning

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1 SIGNALFIRST DETECTED 7 May 2026
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7 May
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18 Sept
Regularized Emphatic Temporal-Difference Learning: Stability under Constant Stepsizes

arXiv:2609.19170v1 Announce Type: new Abstract: Emphatic temporal-difference learning (ETD) stabilizes the expected off-policy TD update and changes its projection geometry, but

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29 May
Behavior-Aware Auxiliary Corrections for Off-Policy Temporal-Difference Prediction

arXiv:2605.28855v1 Announce Type: new Abstract: Temporal-difference learning with function approximation can be unstable under off-policy sampling. TDC stabilizes off-policy TD

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Extending Differential Temporal Difference Methods for Episodic Problems

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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Auto-Rubric as Reward: From Implicit Preferences to Explicit Multimodal Generative Criteria

arXiv:2605.08354v1 Announce Type: new Abstract: Aligning multimodal generative models with human preferences demands reward signals that respect the compositional,

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