Bayesian Adaptation for Covariate Shift

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

AMORTIZED CONDITIONAL NORMALIZED MAXIMUM LIKELIHOOD: RELIABLE OUT OF DISTRIBUTION UNCERTAINTY ESTIMATION

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

CONSERVATIVE Q-LEARNING FOR OFFLINE REINFORCEMENT LEARNING

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

MURAL: META-LEARNING UNCERTAINTY-AWARE REWARDS FOR OUTCOME-DRIVEN REINFORCEMENT LEARNING

von LI, KEVIN
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 8 of 16 (2022)