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Regret Bounds for Information-Directed Reinforcement Learning.

, и . NeurIPS, (2022)

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Tor Tønnessen

Tor Vegge

Tor-Martin Tveit

Tor-Inge Harbo

Tor-Kristian Jenssen

 

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Free Lunch for optimisation under the universal distribution., , и . IEEE Congress on Evolutionary Computation, стр. 167-174. IEEE, (2014)Matrix games with bandit feedback., , и . UAI, том 161 из Proceedings of Machine Learning Research, стр. 279-289. AUAI Press, (2021)Time Consistent Discounting., и . ALT, том 6925 из Lecture Notes in Computer Science, стр. 383-397. Springer, (2011)Asymptotically Optimal Agents., и . ALT, том 6925 из Lecture Notes in Computer Science, стр. 368-382. Springer, (2011)Universal Knowledge-Seeking Agents for Stochastic Environments., , и . ALT, том 8139 из Lecture Notes in Computer Science, стр. 158-172. Springer, (2013)Adaptivity, Variance and Separation for Adversarial Bandits., и . CoRR, (2019)Degenerate Feedback Loops in Recommender Systems., , , , и . AIES, стр. 383-390. ACM, (2019)Exploration by Optimisation in Partial Monitoring., и . COLT, том 125 из Proceedings of Machine Learning Research, стр. 2488-2515. PMLR, (2020)Regret Bounds for Information-Directed Reinforcement Learning., и . NeurIPS, (2022)Linear Multi-Resource Allocation with Semi-Bandit Feedback., , и . NIPS, стр. 964-972. (2015)