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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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Optimizing over a Restricted Policy Class in Markov Decision Processes., , , and . CoRR, (2018)Upper-Confidence-Bound Algorithms for Active Learning in Multi-armed Bandits., , , , and . ALT, volume 6925 of Lecture Notes in Computer Science, page 189-203. Springer, (2011)Optimizing over a Restricted Policy Class in MDPs., , , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 3042-3050. PMLR, (2019)Bayesian Policy Gradient and Actor-Critic Algorithms., , and . J. Mach. Learn. Res., (2016)A multiagent reinforcement learning algorithm by dynamically merging markov decision processes., and . AAMAS, page 845-846. ACM, (2002)Maximum Entropy Model Correction in Reinforcement Learning., , , and . CoRR, (2023)Offline Reinforcement Learning for Mixture-of-Expert Dialogue Management., , , and . CoRR, (2023)Factual and Personalized Recommendations using Language Models and Reinforcement Learning., , , , , , and . CoRR, (2023)Hierarchical multi-agent reinforcement learning., , and . Agents, page 246-253. ACM, (2001)Automated Data Cleansing through Meta-Learning., , and . AAAI, page 4760-4761. AAAI Press, (2017)