A NEURALLY PLAUSIBLE MODEL LEARNS SUCCESSOR REPRESENTATIONS IN PARTIALLY OBSERVABLE ENVIROMENTS

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

Model-Value Inconsistency as a Signal for Epistemic Uncertainty

von Filos, Angelos
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 8 of 33 (2023)