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Softened Approximate Policy Iteration for Markov Games.

, , , , and . ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 1860-1868. JMLR.org, (2016)

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Human Activity Recognition using Recurrent Neural Networks., , , , , , and . CoRR, (2018)Kalman Temporal Differences: The deterministic case., , and . ADPRL, page 185-192. IEEE, (2009)Boosted Bellman Residual Minimization Handling Expert Demonstrations., , and . ECML/PKDD (2), volume 8725 of Lecture Notes in Computer Science, page 549-564. Springer, (2014)Momentum in Reinforcement Learning., , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 2529-2538. PMLR, (2020)Learning Sensor Placement from Demonstration for UAV networks., , and . ISCC, page 1-6. IEEE, (2019)A C++ template-based reinforcement learning library: fitting the code to the mathematics., and . J. Mach. Learn. Res., 14 (1): 625-628 (2013)Off-policy learning with eligibility traces: a survey., and . J. Mach. Learn. Res., 15 (1): 289-333 (2014)Différences temporelles de Kalman. Cas déterministe., , and . Rev. d'Intelligence Artif., 24 (4): 423-443 (2010)ℓ1-Penalized Projected Bellman Residual., and . EWRL, volume 7188 of Lecture Notes in Computer Science, page 89-101. Springer, (2011)Deep Conservative Policy Iteration., , and . CoRR, (2019)