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Regret Bounds for Information-Directed Reinforcement Learning


Jun 09, 2022
Botao Hao, Tor Lattimore

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Distributed Contextual Linear Bandits with Minimax Optimal Communication Cost


May 26, 2022
Sanae Amani, Tor Lattimore, András György, Lin F. Yang

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Contextual Information-Directed Sampling


May 22, 2022
Botao Hao, Tor Lattimore, Chao Qin

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* Accepted at ICML 2022 

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Minimax Regret for Partial Monitoring: Infinite Outcomes and Rustichini's Regret


Feb 22, 2022
Tor Lattimore

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* 28 pages 

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Variational Bayesian Optimistic Sampling


Oct 29, 2021
Brendan O'Donoghue, Tor Lattimore

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Minimax Regret for Bandit Convex Optimisation of Ridge Functions


Jun 06, 2021
Tor Lattimore

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* Correcting an (instructive) error that leads to a weaker result 

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Bandit Phase Retrieval


Jun 04, 2021
Tor Lattimore, Botao Hao

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Information Directed Sampling for Sparse Linear Bandits


May 29, 2021
Botao Hao, Tor Lattimore, Wei Deng

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