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Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity.

, , , and . NeurIPS, (2020)

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Efficient bandit algorithms for online multiclass prediction., , and . ICML, volume 307 of ACM International Conference Proceeding Series, page 440-447. ACM, (2008)Calibration via Regression., and . ITW, page 82-86. IEEE, (2006)Minimal realization problem for Hidden Markov Models., , , and . Allerton, page 4-11. IEEE, (2014)High-Probability Regret Bounds for Bandit Online Linear Optimization., , , , , and . COLT, page 335-342. Omnipress, (2008)On the Complexity of Linear Prediction: Risk Bounds, Margin Bounds, and Regularization, , and . (2009)A Method of Moments for Mixture Models and Hidden Markov Models., , and . COLT, volume 23 of JMLR Proceedings, page 33.1-33.34. JMLR.org, (2012)Trading in Markovian Price Models., and . COLT, volume 3559 of Lecture Notes in Computer Science, page 606-620. Springer, (2005)Multi-view Regression Via Canonical Correlation Analysis., and . COLT, volume 4539 of Lecture Notes in Computer Science, page 82-96. Springer, (2007)Learning Linear Bayesian Networks with Latent Variables., , , and . ICML (1), volume 28 of JMLR Workshop and Conference Proceedings, page 249-257. JMLR.org, (2013)An Alternate Objective Function for Markovian Fields., , and . ICML, page 275-282. Morgan Kaufmann, (2002)