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A simple parameter-free and adaptive approach to optimization under a minimal local smoothness assumption.

, , and . CoRR, (2018)

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Simple regret for infinitely many armed bandits., and . ICML, volume 37 of JMLR Workshop and Conference Proceedings, page 1133-1141. JMLR.org, (2015)Scale-free adaptive planning for deterministic dynamics & discounted rewards., , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 495-504. PMLR, (2019)No-Regret Exploration in Goal-Oriented Reinforcement Learning., , , , and . CoRR, (2019)Online Semi-Supervised Learning on Quantized Graphs, , , and . CoRR, (2012)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)Maximum Entropy Semi-Supervised Inverse Reinforcement Learning., , , and . IJCAI, page 3315-3321. AAAI Press, (2015)Large-Scale Representation Learning on Graphs via Bootstrapping., , , , , , , and . ICLR, OpenReview.net, (2022)Budgeted Online Influence Maximization., , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 7620-7631. PMLR, (2020)