OFF-POLICY ACTOR-CRITIC WITH SHARED EXPERIENCE REPLAY

von Schmitt, Simon
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 11 of 15 (2021)

WHEN TO USE PARAMETRIC MODELS IN REINFORCEMENT LEARNING?

von Hasselt, Hado P. Van
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 18 of 20 (2020)

META-GRADIENT REINFORCEMENT LEARNING WITH AN OBJECTIVE DISCOVERED ONLINE

von Xu, Zhongwen
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 19 of 27 (2021)

EMPHATIC ALGORITHMS FOR DEEP REINFORCEMENT LEARNING

von JIANG, RAY
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 7 of 16 (2022)

Self-Consistent Models and Values

von Farquhar, Greg
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 2 of 36 (2022)

WHAT CAN LEARNED INTRINSIC REWARDS CAPTURE?

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

DISCOVERING REINFORCEMENT LEARNING ALGORITHMS

von Oh, Junhyuk
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 2 of 27 (2021)

A SELF-TUNING ACTOR-CRITIC ALGORITHM

von Zahavy, Tom
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 25 of 27 (2021)

MUESLI: COMBINING IMPROVEMENTS IN POLICY OPTIMIZATION

von HESSEL, MATTEO
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 6 of 16 (2022)

Discovery of Options via Meta-Learned Subgoals

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