Learning Dynamics and Generalization in Deep Reinforcement Learning

von Lyle, Clare
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 18 of 33 (2023)

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)

A BAYESIAN PERSPECTIVE ON TRAINING SPEED AND MODEL SELECTION

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

Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning

von Kossen, Jannik
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 34 of 36 (2022)

Speedy Performance Estimation for Neural Architecture Search

von Ru, Robin
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 6 of 36 (2022)

INVARIANT CAUSAL PREDICTION FOR BLOCK MDPS

von Zhang, Amy
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 15 of 15 (2021)

A GEOMETRIC PERSPECTIVE ON OPTIMAL REPRESENTATIONS FOR REINFORCEMENT LEARNING

von Bellemare, Marc
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 6 of 20 (2020)