Biased Gradient Estimate with Drastic Variance Reduction for Meta Reinforcement Learning

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

SELF-IMITATION LEARNING VIA GENERALIZED LOWER BOUND Q-LEARNING

von Tang, Yunhao
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 17 of 27 (2021)

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)

FROM COMPLEXITY TO SIMPLICITY: ADAPTIVE ES-ACTIVE SUBSPACES FOR BLACKBOX OPTIMIZATION

von Choromanski, Krzysztof M.
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 13 of 20 (2020)

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)

LEARNING TO SCORE BEHAVIORS FOR GUIDED POLICY OPTIMIZATION

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

From Dirichlet to Rubin: Optimistic Exploration in RL Without Bonuses

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

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)

BYOL-Explore: Exploration by Bootstrapped Prediction

von Guo, Zhaohan
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 41 of 50 (2023)