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Model-free Posterior Sampling via Learning Rate Randomization., , , , , , , , and . CoRR, (2023)Demonstration-Regularized RL., , , , , , , and . CoRR, (2023)Primal-Dual Stochastic Mirror Descent for MDPs., and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 9723-9740. PMLR, (2022)Orthogonal Directions Constrained Gradient Method: from non-linear equality constraints to Stiefel manifold., , , and . COLT, volume 195 of Proceedings of Machine Learning Research, page 1228-1258. PMLR, (2023)Generative Flow Networks as Entropy-Regularized RL., , , and . CoRR, (2023)Stochastic Saddle-Point Optimization for Wasserstein Barycenters., , and . CoRR, (2020)Stochastic saddle-point optimization for the Wasserstein barycenter problem., , and . Optim. Lett., 16 (7): 2145-2175 (2022)From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses., , , , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 21380-21431. PMLR, (2022)Finite-Sample Analysis of the Temporal Difference Learning., , , and . CoRR, (2023)Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guarantees., , , , , , , , and . NeurIPS, (2022)