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A Minimalist Approach to Offline Reinforcement Learning

A Minimalist Approach to Offline Reinforcement Learning

12 June 2021
Scott Fujimoto
S. Gu
    OffRL
ArXivPDFHTML

Papers citing "A Minimalist Approach to Offline Reinforcement Learning"

50 / 522 papers shown
Title
ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts
ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts
Jing-Cheng Pang
Kaiyuan Li
Yixuan Wang
Si-Hang Yang
Shengyi Jiang
Yang Yu
OffRL
LLMAG
LM&Ro
LRM
19
0
0
15 May 2025
Video-Enhanced Offline Reinforcement Learning: A Model-Based Approach
Video-Enhanced Offline Reinforcement Learning: A Model-Based Approach
Minting Pan
Yitao Zheng
J. Li
Yunbo Wang
Xiaokang Yang
OffRL
48
0
0
10 May 2025
Taming OOD Actions for Offline Reinforcement Learning: An Advantage-Based Approach
Taming OOD Actions for Offline Reinforcement Learning: An Advantage-Based Approach
Xuyang Chen
Keyu Yan
Lin Zhao
OffRL
51
0
0
08 May 2025
Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning
Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning
Jifeng Hu
Sili Huang
Z. Yang
Shengchao Hu
Li Shen
H. Chen
Lichao Sun
Yi-Ju Chang
Dacheng Tao
OffRL
149
0
0
03 May 2025
Reinforcement Learning with Continuous Actions Under Unmeasured Confounding
Reinforcement Learning with Continuous Actions Under Unmeasured Confounding
Yuhan Li
Eugene Han
Yifan Hu
Wenzhuo Zhou
Zhengling Qi
Yifan Cui
Ruoqing Zhu
OffRL
141
0
0
01 May 2025
Dynamic Action Interpolation: A Universal Approach for Accelerating Reinforcement Learning with Expert Guidance
Dynamic Action Interpolation: A Universal Approach for Accelerating Reinforcement Learning with Expert Guidance
Wenjun Cao
52
0
0
26 Apr 2025
BiasBench: A reproducible benchmark for tuning the biases of event cameras
BiasBench: A reproducible benchmark for tuning the biases of event cameras
Andreas Ziegler
David Joseph
Thomas Gossard
Emil Moldovan
A. Zell
31
0
0
25 Apr 2025
An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning
An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning
Haoran Xu
Shuozhe Li
Harshit S. Sikchi
S. Niekum
Amy Zhang
OffRL
27
0
0
17 Apr 2025
VIPO: Value Function Inconsistency Penalized Offline Reinforcement Learning
VIPO: Value Function Inconsistency Penalized Offline Reinforcement Learning
Xuyang Chen
Guojian Wang
Keyu Yan
Lin Zhao
OffRL
37
1
0
16 Apr 2025
A Clean Slate for Offline Reinforcement Learning
A Clean Slate for Offline Reinforcement Learning
Matthew Jackson
Uljad Berdica
Jarek Liesen
Shimon Whiteson
Jakob Foerster
OffRL
OnRL
49
0
0
15 Apr 2025
Human-Level Competitive Pokémon via Scalable Offline Reinforcement Learning with Transformers
Human-Level Competitive Pokémon via Scalable Offline Reinforcement Learning with Transformers
Jake Grigsby
Yuqi Xie
Justin Sasek
Steven Zheng
Yuke Zhu
OffRL
26
0
0
06 Apr 2025
Beyond Non-Expert Demonstrations: Outcome-Driven Action Constraint for Offline Reinforcement Learning
Beyond Non-Expert Demonstrations: Outcome-Driven Action Constraint for Offline Reinforcement Learning
Ke Jiang
Wen Jiang
Y. Li
Xiaoyang Tan
OffRL
38
0
0
02 Apr 2025
Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation
Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation
Sicong Liu
Yang Shu
Chenjuan Guo
Bin Yang
OffRL
58
3
0
27 Mar 2025
Offline Reinforcement Learning with Discrete Diffusion Skills
Offline Reinforcement Learning with Discrete Diffusion Skills
Ruixi Qiao
Jie Cheng
Xingyuan Dai
Yonglin Tian
Yisheng Lv
OffRL
84
0
0
26 Mar 2025
Model-Based Offline Reinforcement Learning with Adversarial Data Augmentation
Model-Based Offline Reinforcement Learning with Adversarial Data Augmentation
Hongye Cao
Fan Feng
Jing Huo
Shangdong Yang
Meng Fang
Tianpei Yang
Yang Gao
AAML
OffRL
60
0
0
26 Mar 2025
NeoRL-2: Near Real-World Benchmarks for Offline Reinforcement Learning with Extended Realistic Scenarios
NeoRL-2: Near Real-World Benchmarks for Offline Reinforcement Learning with Extended Realistic Scenarios
Songyi Gao
Zuolin Tu
Rong-Jun Qin
Yi-Hao Sun
Xiong-Hui Chen
Yang Yu
OffRL
42
0
0
25 Mar 2025
Latent Embedding Adaptation for Human Preference Alignment in Diffusion Planners
Latent Embedding Adaptation for Human Preference Alignment in Diffusion Planners
Wen Zheng Terence Ng
Jianda Chen
Yuan Xu
Tianwei Zhang
41
0
0
24 Mar 2025
Evaluation-Time Policy Switching for Offline Reinforcement Learning
Evaluation-Time Policy Switching for Offline Reinforcement Learning
Natinael Solomon Neggatu
Jeremie Houssineau
Giovanni Montana
OffRL
OnRL
70
0
0
15 Mar 2025
Towards Safe Path Tracking Using the Simplex Architecture
Georg Jäger
Nils-Jonathan Friedrich
Hauke Petersen
Benjamin Noack
34
0
0
13 Mar 2025
GTR: Guided Thought Reinforcement Prevents Thought Collapse in RL-based VLM Agent Training
Tong Wei
Yijun Yang
Junliang Xing
Yuanchun Shi
Zongqing Lu
Deheng Ye
OffRL
LRM
44
1
0
11 Mar 2025
Policy Constraint by Only Support Constraint for Offline Reinforcement Learning
Yunkai Gao
Jiaming Guo
Fan Wu
Rui Zhang
OffRL
56
0
0
07 Mar 2025
High-Precision Transformer-Based Visual Servoing for Humanoid Robots in Aligning Tiny Objects
Jialong Xue
Wei Gao
Yu Wang
Chao Ji
Dongdong Zhao
Shi Yan
Shiwu Zhang
45
0
0
06 Mar 2025
DPR: Diffusion Preference-based Reward for Offline Reinforcement Learning
DPR: Diffusion Preference-based Reward for Offline Reinforcement Learning
Teng Pang
Bingzheng Wang
Guoqiang Wu
Yilong Yin
OffRL
70
0
0
03 Mar 2025
SFO: Piloting VLM Feedback for Offline RL
SFO: Piloting VLM Feedback for Offline RL
Jacob Beck
OffRL
39
0
0
02 Mar 2025
Behavior Preference Regression for Offline Reinforcement Learning
Padmanaba Srinivasan
William J. Knottenbelt
OffRL
33
0
0
02 Mar 2025
What Makes a Good Diffusion Planner for Decision Making?
Haofei Lu
Dongqi Han
Yifei Shen
Dongsheng Li
DiffM
38
3
0
01 Mar 2025
Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset
Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset
Yiqin Yang
Quanwei Wang
Chenghao Li
Hao Hu
Chengjie Wu
...
Dianyu Zhong
Ziyou Zhang
Qianchuan Zhao
Chongjie Zhang
Xu Bo
OffRL
47
0
0
26 Feb 2025
Efficient Reinforcement Learning by Guiding Generalist World Models with Non-Curated Data
Efficient Reinforcement Learning by Guiding Generalist World Models with Non-Curated Data
Yi Zhao
Aidan Scannell
Wenshuai Zhao
Yuxin Hou
Tianyu Cui
Le Chen
Dieter Büchler
Arno Solin
Juho Kannala
Joni Pajarinen
OffRL
OnRL
96
1
0
26 Feb 2025
Hyperspherical Normalization for Scalable Deep Reinforcement Learning
Hyperspherical Normalization for Scalable Deep Reinforcement Learning
Hojoon Lee
Youngdo Lee
Takuma Seno
Donghu Kim
Peter Stone
Jaegul Choo
63
1
0
24 Feb 2025
TDMPBC: Self-Imitative Reinforcement Learning for Humanoid Robot Control
TDMPBC: Self-Imitative Reinforcement Learning for Humanoid Robot Control
Zifeng Zhuang
Diyuan Shi
Runze Suo
Xiao He
Hongyin Zhang
Ting Wang
Shangke Lyu
Donglin Wang
39
0
0
24 Feb 2025
Yes, Q-learning Helps Offline In-Context RL
Yes, Q-learning Helps Offline In-Context RL
Denis Tarasov
Alexander Nikulin
Ilya Zisman
Albina Klepach
Andrei Polubarov
Nikita Lyubaykin
Alexander Derevyagin
Igor Kiselev
Vladislav Kurenkov
OffRL
OnRL
175
0
0
24 Feb 2025
Reward-Safety Balance in Offline Safe RL via Diffusion Regularization
Junyu Guo
Zhi Zheng
Donghao Ying
Ming Jin
Shangding Gu
C. Spanos
Javad Lavaei
OffRL
56
0
0
18 Feb 2025
Data Center Cooling System Optimization Using Offline Reinforcement Learning
Data Center Cooling System Optimization Using Offline Reinforcement Learning
Xianyuan Zhan
Xiangyu Zhu
Peng Cheng
Xiao Hu
Ziteng He
...
Chenhui Liu
Tianshun Hong
Yan Liang
Yunxin Liu
Feng Zhao
AI4CE
62
0
0
17 Feb 2025
Deep Reinforcement Learning based Triggering Function for Early Classifiers of Time Series
Aurélien Renault
A. Bondu
Antoine Cornuéjols
Vincent Lemaire
49
0
0
10 Feb 2025
B3C: A Minimalist Approach to Offline Multi-Agent Reinforcement Learning
B3C: A Minimalist Approach to Offline Multi-Agent Reinforcement Learning
Woojun Kim
Katia P. Sycara
OffRL
91
0
0
30 Jan 2025
Reinforcement Teaching
Reinforcement Teaching
Alex Lewandowski
Calarina Muslimani
Dale Schuurmans
Matthew E. Taylor
Jun Luo
81
1
0
28 Jan 2025
Coordinating Ride-Pooling with Public Transit using Reward-Guided Conservative Q-Learning: An Offline Training and Online Fine-Tuning Reinforcement Learning Framework
Coordinating Ride-Pooling with Public Transit using Reward-Guided Conservative Q-Learning: An Offline Training and Online Fine-Tuning Reinforcement Learning Framework
Yulong Hu
Tingting Dong
Sen Li
OffRL
OnRL
59
0
0
24 Jan 2025
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning
Abdullah Akgul
Manuel Haußmann
M. Kandemir
OffRL
71
1
0
17 Jan 2025
Integrating Multi-Modal Input Token Mixer Into Mamba-Based Decision Models: Decision MetaMamba
Integrating Multi-Modal Input Token Mixer Into Mamba-Based Decision Models: Decision MetaMamba
Wall Kim
Mamba
55
0
0
10 Jan 2025
SR-Reward: Taking The Path More Traveled
SR-Reward: Taking The Path More Traveled
Seyed Mahdi Basiri Azad
Zahra Padar
Gabriel Kalweit
Joschka Boedecker
OffRL
67
0
0
04 Jan 2025
MADiff: Offline Multi-agent Learning with Diffusion Models
MADiff: Offline Multi-agent Learning with Diffusion Models
Zhengbang Zhu
Minghuan Liu
Liyuan Mao
Bingyi Kang
Minkai Xu
Yong Yu
Stefano Ermon
Weinan Zhang
DiffM
OffRL
85
34
0
03 Jan 2025
Hierarchical Multi-agent Meta-Reinforcement Learning for Cross-channel
  Bidding
Hierarchical Multi-agent Meta-Reinforcement Learning for Cross-channel Bidding
Shenghong He
Chao Yu
39
0
0
26 Dec 2024
Attention-Enhanced Short-Time Wiener Solution for Acoustic Echo
  Cancellation
Attention-Enhanced Short-Time Wiener Solution for Acoustic Echo Cancellation
Fei Zhao
Xueliang Zhang
36
0
0
25 Dec 2024
Large Language Model guided Deep Reinforcement Learning for Decision
  Making in Autonomous Driving
Large Language Model guided Deep Reinforcement Learning for Decision Making in Autonomous Driving
Hao Pang
Zhenpo Wang
Guoqiang Li
43
1
0
24 Dec 2024
ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning
ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning
Kun Wu
Yinuo Zhao
Zhihao Xu
Zhengping Che
Chengxiang Yin
C. Liu
Qinru Qiu
Feiferi Feng
OffRL
100
1
0
22 Dec 2024
Policy Agnostic RL: Offline RL and Online RL Fine-Tuning of Any Class
  and Backbone
Policy Agnostic RL: Offline RL and Online RL Fine-Tuning of Any Class and Backbone
Max Sobol Mark
Tian Gao
Georgia Gabriela Sampaio
Mohan Kumar Srirama
Archit Sharma
Chelsea Finn
Aviral Kumar
OffRL
OnRL
95
4
0
09 Dec 2024
Supervised Learning-enhanced Multi-Group Actor Critic for Live Stream Allocation in Feed
Supervised Learning-enhanced Multi-Group Actor Critic for Live Stream Allocation in Feed
Jingxin Liu
Xiang Gao
Yisha Li
Xin Li
Haiyang Lu
Ben Wang
OffRL
72
0
0
28 Nov 2024
Enhancing Exploration with Diffusion Policies in Hybrid Off-Policy RL: Application to Non-Prehensile Manipulation
Enhancing Exploration with Diffusion Policies in Hybrid Off-Policy RL: Application to Non-Prehensile Manipulation
Huy Le
Miroslav Gabriel
Tai Hoang
Gerhard Neumann
Ngo Anh Vien
111
1
0
22 Nov 2024
Continual Task Learning through Adaptive Policy Self-Composition
Shengchao Hu
Yuhang Zhou
Ziqing Fan
Jifeng Hu
Li Shen
Ya-Qin Zhang
Dacheng Tao
OffRL
74
0
0
18 Nov 2024
Enhancing Decision Transformer with Diffusion-Based Trajectory Branch Generation
Zhihong Liu
Long Qian
Zeyang Liu
Lipeng Wan
Xingyu Chen
Xuguang Lan
OffRL
80
1
0
18 Nov 2024
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