Offline Reinforcement Learning

August 2, 2024

Pre-trained Language Models Improve the Few-shot Prompt Ability of Decision Transformer
Yu Yang, Pan Xu
Pre Trained Language Model Offline Reinforcement Learning Decision Transformer
NOLO: Navigate Only Look Once
Bohan Zhou, Jiangxing Wang, Zongqing Lu
Offline Reinforcement Learning Local Navigation Egocentric Video Visual Navigation Context Aware Navigation

July 29, 2024

Language-Conditioned Offline RL for Multi-Robot Navigation
Steven Morad, Ajay Shankar, Jan Blumenkamp, Amanda Prorok
Offline Reinforcement Learning Natural Language Instruction Multi Robot Team Multi Robot Navigation Offline Goal Conditioned RL
Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning
Liyuan Mao, Haoran Xu, Weinan Zhang, Xianyuan Zhan, Amy Zhang
Offline Reinforcement Learning DIstribution Estimation Diffusion Guidance Diffusion Inference Policy Distribution Based Offline RL
Dataset Distillation for Offline Reinforcement Learning
Jonathan Light, Yuanzhe Liu, Ziniu Hu
Offline Reinforcement Learning Behavior Cloning Dataset Distillation Data Distillation

July 18, 2024

ROLeR: Effective Reward Shaping in Offline Reinforcement Learning for Recommender Systems
Yi Zhang, Ruihong Qiu, Jiajun Liu, Sen Wang
Recommender System Offline Reinforcement Learning Integral Role Reward Model Reward Shaping Model Based Offline Reinforcement Learning

July 16, 2024

Bellman Diffusion Models
Liam Schramm, Abdeslam Boularias
Diffusion Model Imitation Learning Offline Reinforcement Learning Diffusion Step

July 15, 2024

Offline Reinforcement Learning with Imputed Rewards
Carlo Romeo, Andrew D. Bagdanov
Offline Reinforcement Learning Reward Transition

July 12, 2024

July 5, 2024

Robust Decision Transformer: Tackling Data Corruption in Offline RL via Sequence Modeling
Jiawei Xu, Rui Yang, Feng Luo, Meng Fang, Baoxiang Wang, Lei Han
Offline Reinforcement Learning Decision Transformer Sequence Modeling Data Corruption

July 1, 2024

To Switch or Not to Switch? Balanced Policy Switching in Offline Reinforcement Learning
Tao Ma, Xuzhi Yang, Zoltan Szabo
Reinforcement Learning Offline Reinforcement Learning Optimal Transport Actor Critic Algorithm Optimal Behavior Policy Switching

June 30, 2024

June 26, 2024

Preference Elicitation for Offline Reinforcement Learning
Alizée Pace, Bernhard Schölkopf, Gunnar Rätsch, Giorgia Ramponi
Reinforcement Learning Offline Reinforcement Learning Preference Feedback Preference Based Reinforcement Learning Preference Elicitation Learned Environment Model Offline Preference Based Reinforcement Learning

June 20, 2024

Urban-Focused Multi-Task Offline Reinforcement Learning with Contrastive Data Sharing
Xinbo Zhao, Yingxue Zhang, Xin Zhang, Yu Yang, Yiqun Xie, Yanhua Li, Jun Luo
Reinforcement Learning Offline Reinforcement Learning Urban Planning Contrastive Data Spatio Temporal Multi Task Assignment

June 19, 2024

Efficient Offline Reinforcement Learning: The Critic is Critical
Adam Jelley, Trevor McInroe, Sam Devlin, Amos Storkey
Offline Reinforcement Learning Policy Reinforcement Learning Temporal Difference Learning Multiple Critic

June 18, 2024

Order-Optimal Instance-Dependent Bounds for Offline Reinforcement Learning with Preference Feedback
Zhirui Chen, Vincent Y. F. Tan
Offline Reinforcement Learning Preference Feedback Implicit Reward Instance Dependent Regret Matching

June 17, 2024

The Role of Inherent Bellman Error in Offline Reinforcement Learning with Linear Function Approximation
Noah Golowich, Ankur Moitra
Reinforcement Learning Offline Reinforcement Learning Integral Role Linear Function Approximation Bellman Error Bellman Completeness

June 14, 2024

Binary Reward Labeling: Bridging Offline Preference and Reward-Based Reinforcement Learning
Yinglun Xu, David Zhu, Rohan Gumaste, Gagandeep Singh
Reinforcement Learning Offline Reinforcement Learning Offline Preference Offline RL Scalar Reward Offline Preference Based Reinforcement Learning

Offline Reinforcement Learning

Papers

Pre-trained Language Models Improve the Few-shot Prompt Ability of Decision Transformer

NOLO: Navigate Only Look Once

Language-Conditioned Offline RL for Multi-Robot Navigation

Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning

Dataset Distillation for Offline Reinforcement Learning

ROLeR: Effective Reward Shaping in Offline Reinforcement Learning for Recommender Systems

Bellman Diffusion Models

Offline Reinforcement Learning with Imputed Rewards

A Benchmark Environment for Offline Reinforcement Learning in Racing Games

Aligning Diffusion Behaviors with Q-functions for Efficient Continuous Control

Robust Decision Transformer: Tackling Data Corruption in Offline RL via Sequence Modeling

To Switch or Not to Switch? Balanced Policy Switching in Offline Reinforcement Learning

Benchmarks for Reinforcement Learning with Biased Offline Data and Imperfect Simulators

Tackling Long-Horizon Tasks with Model-based Offline Reinforcement Learning

Preference Elicitation for Offline Reinforcement Learning

Urban-Focused Multi-Task Offline Reinforcement Learning with Contrastive Data Sharing

Efficient Offline Reinforcement Learning: The Critic is Critical

Order-Optimal Instance-Dependent Bounds for Offline Reinforcement Learning with Preference Feedback

The Role of Inherent Bellman Error in Offline Reinforcement Learning with Linear Function Approximation

Binary Reward Labeling: Bridging Offline Preference and Reward-Based Reinforcement Learning