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Stochastic Bandits with Vector Losses: Minimizing $\ell^\infty$-Norm of Relative Losses

Oct 15, 2020
Xuedong Shang, Han Shao, Jian Qian

* 14 pages 

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Towards Minimax Optimal Reinforcement Learning in Factored Markov Decision Processes

Jun 24, 2020
Yi Tian, Jian Qian, Suvrit Sra

* 54 pages 

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Concentration Inequalities for Multinoulli Random Variables

Jan 30, 2020
Jian Qian, Ronan Fruit, Matteo Pirotta, Alessandro Lazaric

* Tutorial at ALT'19 on Regret Minimization in Infinite-Horizon Finite Markov Decision Processes 

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Importance Resampling for Off-policy Prediction

Jun 11, 2019
Matthew Schlegel, Wesley Chung, Daniel Graves, Jian Qian, Martha White


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Exploration Bonus for Regret Minimization in Undiscounted Discrete and Continuous Markov Decision Processes

Dec 11, 2018
Jian Qian, Ronan Fruit, Matteo Pirotta, Alessandro Lazaric


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