From Bandits to Monte-Carlo tree search : the optimistic principle applied to optimization and planning

von Munos, Rémi
Veröffentlicht 2014

Learning in two-player zero-sum partially observable Markov games with perfect recall

von Kozuno, Tadashi
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 15 of 36 (2022)

TAYLOR EXPANSION OF DISCOUNT FACTORS

von TANG, YUNHAO
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 13 of 16 (2022)

Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation

von Tang, Yunhao
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 7 of 36 (2022)

Algorithmic learning theory

Veröffentlicht 2016

PLANNING IN ENTROPY-REGULARIZED MARKOV DECISION PROCESSES AND GAMES

von Grill, Jean-Bastien
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 16 of 20 (2020)

Generalised Policy Improvement with Geometric Policy Composition

von Thakoor, Shantanu
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 26 of 33 (2023)

LEVERAGE THE AVERAGE: AN ANALYSIS OF KL REGULARIZATION IN REINFORCEMENT LEARNING

von Vieillard, Nino
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 15 of 27 (2021)

The Nature of Temporal Difference Errors in Multi-step Distributional Reinforcement Learning

von Tang, Yunhao
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 39 of 50 (2023)

Recent advances in reinforcement learning : 8th European Workshop, EWRL 2008, Villeneuve d'Ascq, France, June 30-July 3, 2008 ; revised and selected papers

Veröffentlicht 2008

Algorithmic learning theory : 24th international conference, ALT 2013, Singapore, October 6-9, 2013 ; proceedings

Veröffentlicht 2013

MULTIAGENT EVALUATION UNDER INCOMPLETE INFORMATION

von Rowland, Mark
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 16 of 20 (2020)

REVISITING PENG'S Q() FOR MODERN REINFORCEMENT LEARNING

von KOZUNO, TADASHI
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 8 of 16 (2022)

Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guarantees

von Tiapkin, Daniil
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 14 of 50 (2023)

NEURAL REPLICATOR DYNAMICS: MULTIAGENT LEARNING VIA HEDGING POLICY GRADIENTS

von Hennes, Daniel
Veröffentlicht in AAMAS (19. : 2020 : Online) International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020) ; Volume 1 of 3 (2021)

HINDSIGHT CREDIT ASSIGNMENT

von Harutyunyan, Anna
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 16 of 20 (2020)

COUNTERFACTUAL CREDIT ASSIGNMENT IN MODEL-FREE REINFORCEMENT LEARNING

von MESNARD, THOMAS
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 10 of 16 (2022)

FROM POINCARÉ RECURRENCE TO CONVERGENCE IN IMPERFECT INFORMATION GAMES: FINDING EQUILIBRIUM VIA REGULARIZATION

von PEROLAT, JULIEN
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 11 of 16 (2022)

FAST COMPUTATION OF NASH EQUILIBRIA IN IMPERFECT INFORMATION GAMES

von Munos, Remi
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 10 of 15 (2021)

BOOTSTRAP YOUR OWN LATENT - A NEW APPROACH TO SELF-SUPERVISED LEARNING

von Grill, Jean-Bastien
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 26 of 27 (2021)