LOADED DICE: TRADING OFF BIAS AND VARIANCE IN ANY-ORDER SCORE FUNCTION GRADIENT ESTIMATORS FOR REINFORCEMENT LEARNING

von Farquhar, Gregory
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 11 of 20 (2020)

WEIGHWEIGHTED QMIX: EXPANDING MONOTONIC VALUE FUNCTION FACTORISATION FOR DEEP MULTI-AGENT REINFORCEMENT LEARNING

von Rashid, Tabish
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 13 of 27 (2021)

PSIPHI-LEARNING: REINFORCEMENT LEARNING WITH DEMONSTRATIONS USING SUCCESSOR FEATURES AND INVERSE TEMPORAL DIFFERENCE LEARNING

von FILOS, ANGELOS
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 5 of 16 (2022)

MULTI-AGENT COMMON KNOWLEDGE REINFORCEMENT LEARNING

von Witt, Christian Schroeder De
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 13 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)