BAYESIAN ROBUST OPTIMIZATION FOR IMITATION LEARNING

von Brown, Daniel
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 4 of 27 (2021)

Adversarial Intrinsic Motivation for Reinforcement Learning

von Durugkar, Ishan
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 11 of 36 (2022)

VALUE ALIGNMENT VERIFICATION

von BROWN, DANIEL S.
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 2 of 16 (2022)

SAFE IMITATION LEARNING VIA FAST BAYESIAN REWARD INFERENCE FROM PREFERENCES

von Brown, Daniel S.
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 2 of 15 (2021)

EFFICIENTLY GUIDING IMITATION LEARNING AGENTS WITH HUMAN GAZE

von Saran, Akanksha
Veröffentlicht in AAMAS (20. : 2021 : Online) 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021) ; Volume 2 of 3 (2021)

SOPE: Spectrum of Off-Policy Estimators

von Yuan, Christina
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 23 of 36 (2022)

Universal Off-Policy Evaluation

von Chandak, Yash
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 33 of 36 (2022)