PEBBLE: FEEDBACK-EFFICIENT INTERACTIVE REINFORCEMENT LEARNING VIA RELABELING EXPERIENCE AND UNSUPERVISED PRE-TRAINING

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

Development of mass spectrometric methods for the structural characterization of flavonoid glycosides

von Li, Qimin
Veröffentlicht 1994

SUNRISE: A SIMPLE UNIFIED FRAMEWORK FOR ENSEMBLE LEARNING IN DEEP REINFORCEMENT LEARNING

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

DECOUPLING REPRESENTATION LEARNING FROM REINFORCEMENT LEARNING

von STOOKE, ADAM
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 13 of 16 (2022)

Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings

von Chen, Lili
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 32 of 36 (2022)

Reinforcement Learning with Action-Free Pre-Training from Videos

von Seo, Younggyo
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 24 of 33 (2023)

Improving Transferability of Representations via Augmentation-Aware Self-Supervision

von Lee, Hankook
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 21 of 36 (2022)

CONTEXT-AWARE DYNAMICS MODEL FOR GENERALIZATION IN MODEL-BASED REINFORCEMENT LEARNING

von Lee, Kimin
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 8 of 15 (2021)

Zhong guo min zhu dang pai shi gao

von Li, Qimin
Veröffentlicht 1988

STATE ENTROPY MAXIMIZATION WITH RANDOM ENCODERS FOR EFFICIENT EXPLORATION

von SEO, YOUNGGYO
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 12 of 16 (2022)

REINFORCEMENT LEARNING WITH AUGMENTED DATA

von Laskin, Misha
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 24 of 27 (2021)

Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning

von Seo, Younggyo
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 16 of 27 (2021)

Decision Transformer: Reinforcement Learning via Sequence Modeling

von Chen, Lili
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 18 of 36 (2022)