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Gamification of Pure Exploration for Linear Bandits.

, , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 2432-2442. PMLR, (2020)

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Scale-free adaptive planning for deterministic dynamics & discounted rewards., , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 495-504. PMLR, (2019)Maximum Entropy Semi-Supervised Inverse Reinforcement Learning., , , and . IJCAI, page 3315-3321. AAAI Press, (2015)No-Regret Exploration in Goal-Oriented Reinforcement Learning., , , , and . CoRR, (2019)Simple regret for infinitely many armed bandits., and . ICML, volume 37 of JMLR Workshop and Conference Proceedings, page 1133-1141. JMLR.org, (2015)Sampling from a k-DPP without looking at all items., , and . NeurIPS, (2020)Extreme bandits., and . NIPS, page 1089-1097. (2014)Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning., , , , , , , , , and 4 other author(s). NeurIPS, (2020)Black-box optimization of noisy functions with unknown smoothness., , and . NIPS, page 667-675. (2015)VA-learning as a more efficient alternative to Q-learning., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 33739-33757. PMLR, (2023)Online A-Optimal Design and Active Linear Regression., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 3374-3383. PMLR, (2021)