Behavior From the Void: Unsupervised Active Pre-Training

von Liu, Hao
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 22 of 36 (2022)

APS: ACTIVE PRETRAINING WITH SUCCESSOR FEATURES

von LIU, HAO
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 9 of 16 (2022)

LOCALLY MASKED CONVOLUTION FOR AUTOREGRESSIVE MODELS

von JAIN, AJAY
Veröffentlicht in Conference on Uncertainty in Artificial Intelligence (36. : 2020 : Online) 36th Conference on Uncertainty in Artificial Intelligence (UAI 2020) ; Volume 3 of 3 (2021)

RESPONSIVE SAFETY IN REINFORCEMENT LEARNING BY PID LAGRANGIAN METHODS

von Stooke, Adam
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 12 of 15 (2021)

COMPRESSION WITH FLOWS VIA LOCAL BITS-BACK CODING

von Ho, Jonathan
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 5 of 20 (2020)

On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning

von Zhao, Mandi
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 35 of 50 (2023)

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)

GENERALIZED HINDSIGHT FOR REINFORCEMENT LEARNING

von Li, Alexander
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 10 of 27 (2021)

Denoising Diffusion Probabilistic Models

von Ho, Jonathan
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 9 of 27 (2021)

AUTOMATIC CURRICULUM LEARNING THROUGH VALUE DISAGREEMENT

von Zhang, Yunzhi
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 10 of 27 (2021)

GEOMETRY-AWARE NEURAL RENDERING

von Tobin, Joshua
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 15 of 20 (2020)

Spending Thinking Time Wisely: Accelerating MCTS with Virtual Expansions

von Ye, Weirui
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 16 of 50 (2023)

UNSUPERVISED LEARNING OF VISUAL 3D KEYPOINTS FOR CONTROL

von CHEN, BOYUAN
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 2 of 16 (2022)

HIERARCHICALLY DECOUPLED IMITATION FOR MORPHOLOGICAL TRANSFER

von Hejna, Donald J.
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 6 of 15 (2021)

Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL

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

ADDRESSING SAMPLE COMPLEXITY IN VISUAL TASKS USING HER AND HALLUCINATORY GANS

von Sahni, Himanshu
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 8 of 20 (2020)

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)

Masked Autoencoding for Scalable and Generalizable Decision Making

von Liu, Fangchen
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 17 of 50 (2023)

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)