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KL-Entropy-Regularized RL with a Generative Model is Minimax Optimal., , , , , , , , , and 3 other author(s). CoRR, (2022)Unlocking the Power of Representations in Long-term Novelty-based Exploration., , , , , , , , and . CoRR, (2023)Online Semi-Supervised Learning on Quantized Graphs, , , and . CoRR, (2012)Simple regret for infinitely many armed bandits., and . ICML, volume 37 of JMLR Workshop and Conference Proceedings, page 1133-1141. JMLR.org, (2015)Maximum Entropy Semi-Supervised Inverse Reinforcement Learning., , , and . IJCAI, page 3315-3321. AAAI Press, (2015)A Provably Efficient Sample Collection Strategy for Reinforcement Learning., , , and . CoRR, (2020)A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces., , , , and . CoRR, (2020)Episodic Reinforcement Learning in Finite MDPs: Minimax Lower Bounds Revisited., , , and . CoRR, (2020)No-Regret Exploration in Goal-Oriented Reinforcement Learning., , , , and . CoRR, (2019)Scale-free adaptive planning for deterministic dynamics & discounted rewards., , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 495-504. PMLR, (2019)