POLICY IMPROVEMENT VIA IMITATION OF MULTIPLE ORACLES

von Cheng, Ching-An
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 7 of 27 (2021)

Heuristic-Guided Reinforcement Learning

von Cheng, Ching-An
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 17 of 36 (2022)

EXPLAINING FAST IMPROVEMENT IN ONLINE IMITATION LEARNING

von Yan, Xinyan
Veröffentlicht in Conference on Uncertainty in Artificial Intelligence (37. : 2021 : Online) 37th Conference on Uncertainty in Artificial Intelligence (UAI 2021) ; Part 3 of 3 (2022)

SAFE REINFORCEMENT LEARNING USING ADVANTAGE-BASED INTERVENTION

von WAGENER, NOLAN C.
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 14 of 16 (2022)

INTRA ORDER-PRESERVING FUNCTIONS FOR CALIBRATION OF MULTI-CLASS NEURAL NETWORKS

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

Bellman-consistent Pessimism for Offline Reinforcement Learning

von Xie, Tengyang
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 9 of 36 (2022)

MoCapAct: A Multi-Task Dataset for Simulated Humanoid Control

von Wagener, Nolan
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 46 of 50 (2023)

RMPfiow: A Computational Graph for Automatic Motion Policy Generation

von Cheng, Ching-An
Veröffentlicht in Workshop on the Algorithmic Foundations of Robotics (13. : 2018 : Merida, Mexiko) Algorithmic foundation of robotics XIII (2020)