A GAME THEORETIC FRAMEWORK FOR MODEL BASED REINFORCEMENT LEARNING

von Rajeswaran, Aravind
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 11 of 15 (2021)

MOREL: MODEL-BASED OFFLINE REINFORCEMENT LEARNING

von Kidambi, Rahul
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 26 of 27 (2021)

The Unsurprising Effectiveness of Pre-Trained Vision Models for Control

von Parisi, Simone
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 21 of 33 (2023)

Visual Adversarial Imitation Learning using Variational Models

von Rafailov, Rafael
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 4 of 36 (2022)

META-LEARNING WITH IMPLICIT GRADIENTS

von Rajeswaran, Aravind
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 1 of 20 (2020)

COMBO: Conservative Offline Model-Based Policy Optimization

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

Translating Robot Skills: Learning Unsupervised Skill Correspondences Across Robots

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

Unsupervised Reinforcement Learning with Contrastive Intrinsic Control

von Laskin, Michael
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 45 of 50 (2023)

Reinforcement Learning with Latent Flow

von Shang, Wenling
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 27 of 36 (2022)

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)