DAC: THE DOUBLE ACTOR-CRITIC ARCHITECTURE FOR LEARNING OPTIONS

von Zhang, Shangtong
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 3 of 20 (2020)

DEEP RESIDUAL REINFORCEMENT LEARNING

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

GRADIENTDICE: RETHINKING GENERALIZED OFFLINE ESTIMATIONOF STATIONARY VALUES

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

BREAKING THE DEADLY TRIAD WITH A TARGET NETWORK

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

GENERALIZED OFF-POLICY ACTOR-CRITIC

von Zhang, Shangtong
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 3 of 20 (2020)

LEARNING RETROSPECTIVE KNOWLEDGE WITH REVERSE REINFORCEMENT LEARNING

von Zhang, Shangtong
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 24 of 27 (2021)

PROVABLY CONVERGENT TWO-TIMESCALE OFF-POLICY ACTOR-CRITIC WITH FUNCTION APPROXIMATION

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

AVERAGE-REWARD OFF-POLICY POLICY EVALUATION WITH FUNCTION APPROXIMATION

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