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cs.LG2026
On Convergence of Gradient Temporal-Difference Learning with Regularized Corrections and Eligibility Traces
Jingyi Jin, Martha White, Hao Wang
Temporal-difference (TD) learning underlies many prediction and control algorithms, but can diverge when combined with off-policy learning, bootstrapping, and function approximatio…
cs.LG2026
Dynamics Models for Offline Hyperparameter Selection in Real-World RL
Jordan Coblin, Han Wang, Martha White +1
A key obstacle to deploying reinforcement learning in real-world systems is hyperparameter selection, particularly when simulators are unavailable and online experimentation is cos…