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Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits.

, , , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 3601-3610. PMLR, (2019)

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The Sample-Complexity of General Reinforcement Learning., , and . ICML (3), volume 28 of JMLR Workshop and Conference Proceedings, page 28-36. JMLR.org, (2013)Cleaning up the neighborhood: A full classification for adversarial partial monitoring., and . ALT, volume 98 of Proceedings of Machine Learning Research, page 529-556. PMLR, (2019)Behaviour Suite for Reinforcement Learning, , , , , , , , , and 4 other author(s). ICLR, (2020)Minimax Regret for Bandit Convex Optimisation of Ridge Functions.. CoRR, (2021)Probabilistic Inference in Reinforcement Learning Done Right., , and . CoRR, (2023)Gated Linear Networks., , , , , , , , , and 1 other author(s). AAAI, page 10015-10023. AAAI Press, (2021)Information Directed Sampling for Sparse Linear Bandits., , and . NeurIPS, page 16738-16750. (2021)A Second-Order Method for Stochastic Bandit Convex Optimisation., and . COLT, volume 195 of Proceedings of Machine Learning Research, page 2067-2094. PMLR, (2023)Mirror Descent and the Information Ratio., and . COLT, volume 134 of Proceedings of Machine Learning Research, page 2965-2992. PMLR, (2021)Gaussian Gated Linear Networks., , , , , and . NeurIPS, (2020)