UNSUPERVISED REINFORCEMENT LEARNING

von Levine, Sergey
Veröffentlicht in AAMAS (19. : 2020 : Online) International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020) ; Volume 1 of 3 (2021)

Bayesian Adaptation for Covariate Shift

von Zhou, Aurick
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 2 of 36 (2022)

AMORTIZED CONDITIONAL NORMALIZED MAXIMUM LIKELIHOOD: RELIABLE OUT OF DISTRIBUTION UNCERTAINTY ESTIMATION

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

MODEL INVERSION NETWORKS FOR MODEL-BASED OPTIMIZATION

von Kumar, Aviral
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 7 of 27 (2021)

SIMPLE AND EFFECTIVE VAE TRAINING WITH CALIBRATED DECODERS

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

First Contact: Unsupervised Human-Machine Co-Adaptation via Mutual Information Maximization

von Reddy, Siddharth
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 41 of 50 (2023)

Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction

von Janner, Michael
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 3 of 27 (2021)

MEMO: Test Time Robustness via Adaptation and Augmentation

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

Offline Reinforcement Learning as One Big Sequence Modeling Problem

von Janner, Michael
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 2 of 36 (2022)

Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation

von Chang, Michael
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 42 of 50 (2023)

Pragmatic Image Compression for Human-in-the-Loop Decision-Making

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

DISCOR: CORRECTIVE FEEDBACK IN REINFORCEMENT LEARNING VIA DISTRIBUTION CORRECTION

von Kumar, Aviral
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 23 of 27 (2021)

Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification

von Eysenbach, Ben
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 14 of 36 (2022)

CAUSAL CONFUSION IN IMITATION LEARNING

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

Robust Predictable Control

von Eysenbach, Ben
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 33 of 36 (2022)

WHEN TO TRUST YOUR MODEL: MODEL-BASED POLICY OPTIMIZATION

von Janner, Michael
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 16 of 20 (2020)

ONE SOLUTION IS NOT ALL YOU NEED: FEW-SHOT EXTRAPOLATION VIA STRUCTURED MAXENT RL

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

DASCO: Dual-Generator Adversarial Support Constrained Offline Reinforcement Learning

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

Data-Driven Offline Decision-Making via Invariant Representation Learning

von Qi, Han
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 18 of 50 (2023)

CONSERVATIVE Q-LEARNING FOR OFFLINE REINFORCEMENT LEARNING

von Kumar, Aviral
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 2 of 27 (2021)