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ICML 2023 papers!

We have SIX papers in this year ICML:

Orin Levy, Alon Cohen, Asaf B. Cassel, Yishay Mansour: Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation.

Uri Sherman, Tomer Koren, Yishay Mansour: Improved Regret for Efficient Online Reinforcement Learning with Linear Function Approximation

Jay Tenenbaum, Haim Kaplan, Yishay Mansour, Uri Stemmer:

Concurrent Shuffle Differential Privacy Under Continual Observation

Liad Erez, Tal Lancewicki, Uri Sherman, Tomer Koren, Yishay Mansour:

Regret Minimization and Convergence to Equilibria in General-sum Markov Games.

Christoph Dann, Yishay Mansour, Mehryar Mohri

Reinforcement Learning Can Be More Efficient with Multiple Rewards

Yishay Mansour, Richard Nock, Robert Williamson

Random Classification Noise does not defeat All Convex Potential Boosters Irrespective of Model Choice

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Two papers accepted to AAAI 2023: Orin Levy and Yishay Mansour: Optimism in Face of a Context: Regret Guarantees for Stochastic Contextual MDP Eitan-Hai Mashiah, Idan Attias and Yishay Mansour: Stocha

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