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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
An Investigation of Offline Reinforcement Learning in Factorisable Action Spaces
Alex Beeson
David Ireland
Giovanni Montana
OffRL
43
2
0
17 Nov 2024
OffLight: An Offline Multi-Agent Reinforcement Learning Framework for Traffic Signal Control
OffLight: An Offline Multi-Agent Reinforcement Learning Framework for Traffic Signal Control
Rohit Bokade
Xiaoning Jin
OffRL
39
0
0
10 Nov 2024
Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning
Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning
Marvin Alles
Philip Becker-Ehmck
Patrick van der Smagt
Maximilian Karl
OffRL
36
0
0
07 Nov 2024
P-MOSS: Learned Scheduling For Indexes Over NUMA Servers Using Low-Level
  Hardware Statistics
P-MOSS: Learned Scheduling For Indexes Over NUMA Servers Using Low-Level Hardware Statistics
Yeasir Rayhan
Walid G. Aref
30
0
0
05 Nov 2024
Out-of-Distribution Recovery with Object-Centric Keypoint Inverse Policy for Visuomotor Imitation Learning
Out-of-Distribution Recovery with Object-Centric Keypoint Inverse Policy for Visuomotor Imitation Learning
George Jiayuan Gao
Tianyu Li
Nadia Figueroa
41
0
0
05 Nov 2024
Task-Aware Harmony Multi-Task Decision Transformer for Offline
  Reinforcement Learning
Task-Aware Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning
Ziqing Fan
Shengchao Hu
Yuhang Zhou
Li Shen
Ya-Qin Zhang
Yanfeng Wang
Dacheng Tao
OffRL
36
0
0
02 Nov 2024
Reinforcement Learning Gradients as Vitamin for Online Finetuning
  Decision Transformers
Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers
Kai Yan
A. Schwing
Yu-xiong Wang
OffRL
OnRL
36
0
0
31 Oct 2024
Scalable Kernel Inverse Optimization
Scalable Kernel Inverse Optimization
Youyuan Long
Tolga Ok
Pedro Zattoni Scroccaro
Peyman Mohajerin Esfahani
21
1
0
31 Oct 2024
DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic
  Signal Control with Missing Data
DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data
Hanyang Chen
Yang Jiang
S. Guo
Xiaowei Mao
Youfang Lin
Huaiyu Wan
42
1
0
30 Oct 2024
SoftCTRL: Soft conservative KL-control of Transformer Reinforcement
  Learning for Autonomous Driving
SoftCTRL: Soft conservative KL-control of Transformer Reinforcement Learning for Autonomous Driving
Minh Tri Huynh
Duc Dung Nguyen
OffRL
31
0
0
30 Oct 2024
Offline Behavior Distillation
Offline Behavior Distillation
Shiye Lei
Sen Zhang
Dacheng Tao
OffRL
36
0
0
30 Oct 2024
NetworkGym: Reinforcement Learning Environments for Multi-Access Traffic
  Management in Network Simulation
NetworkGym: Reinforcement Learning Environments for Multi-Access Traffic Management in Network Simulation
Momin Haider
Ming Yin
Menglei Zhang
Arpit Gupta
Jing Zhu
Yu-Xiang Wang
OffRL
31
1
0
30 Oct 2024
BraVE: Offline Reinforcement Learning for Discrete Combinatorial Action Spaces
BraVE: Offline Reinforcement Learning for Discrete Combinatorial Action Spaces
Matthew Landers
Taylor W. Killian
Hugo Barnes
Thomas Hartvigsen
Afsaneh Doryab
OffRL
15
0
0
28 Oct 2024
Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model
Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model
Jing Zhang
Linjiajie Fang
Kexin Shi
Wenjia Wang
Bing-Yi Jing
OffRL
36
0
0
27 Oct 2024
OGBench: Benchmarking Offline Goal-Conditioned RL
OGBench: Benchmarking Offline Goal-Conditioned RL
Seohong Park
Kevin Frans
Benjamin Eysenbach
Sergey Levine
OffRL
50
8
0
26 Oct 2024
Offline Reinforcement Learning with OOD State Correction and OOD Action
  Suppression
Offline Reinforcement Learning with OOD State Correction and OOD Action Suppression
Yixiu Mao
Qi Wang
Chen Chen
Yun Qu
Xiangyang Ji
OffRL
48
6
0
25 Oct 2024
Solving Continual Offline RL through Selective Weights Activation on
  Aligned Spaces
Solving Continual Offline RL through Selective Weights Activation on Aligned Spaces
Jifeng Hu
Sili Huang
Li Shen
Zhejian Yang
Shengchao Hu
Shisong Tang
H. Chen
Yi-Ju Chang
Dacheng Tao
Lichao Sun
OffRL
36
0
0
21 Oct 2024
Offline-to-online Reinforcement Learning for Image-based Grasping with Scarce Demonstrations
Offline-to-online Reinforcement Learning for Image-based Grasping with Scarce Demonstrations
Bryan Chan
Anson Leung
James Bergstra
OffRL
OnRL
59
0
0
19 Oct 2024
Robust RL with LLM-Driven Data Synthesis and Policy Adaptation for
  Autonomous Driving
Robust RL with LLM-Driven Data Synthesis and Policy Adaptation for Autonomous Driving
Sihao Wu
Jiaxu Liu
Xiangyu Yin
Guangliang Cheng
Xingyu Zhao
Meng Fang
Xinping Yi
Xiaowei Huang
30
0
0
16 Oct 2024
Gradient-Free Neural Network Training on the Edge
Gradient-Free Neural Network Training on the Edge
Dotan Di Castro
O. Joglekar
Shir Kozlovsky
Vladimir Tchuiev
Michal Moshkovitz
MQ
14
0
0
13 Oct 2024
Robust Offline Imitation Learning from Diverse Auxiliary Data
Robust Offline Imitation Learning from Diverse Auxiliary Data
Udita Ghosh
Dripta S. Raychaudhuri
Jiachen Li
Konstantinos Karydis
A. Roy-Chowdhury
OffRL
24
1
0
04 Oct 2024
Mitigating Adversarial Perturbations for Deep Reinforcement Learning via
  Vector Quantization
Mitigating Adversarial Perturbations for Deep Reinforcement Learning via Vector Quantization
Tung M. Luu
Thanh Nguyen
Tee Joshua Tian Jin
Sungwoon Kim
Chang D. Yoo
AAML
28
0
0
04 Oct 2024
Grounded Answers for Multi-agent Decision-making Problem through
  Generative World Model
Grounded Answers for Multi-agent Decision-making Problem through Generative World Model
Zeyang Liu
Xinrui Yang
Shiguang Sun
Long Qian
Lipeng Wan
Xingyu Chen
Xuguang Lan
22
2
0
03 Oct 2024
Choices are More Important than Efforts: LLM Enables Efficient
  Multi-Agent Exploration
Choices are More Important than Efforts: LLM Enables Efficient Multi-Agent Exploration
Yun Qu
Boyuan Wang
Yuhang Jiang
Jianzhun Shao
Yixiu Mao
Cheems Wang
Chang Liu
Xiangyang Ji
46
4
0
03 Oct 2024
ComaDICE: Offline Cooperative Multi-Agent Reinforcement Learning with
  Stationary Distribution Shift Regularization
ComaDICE: Offline Cooperative Multi-Agent Reinforcement Learning with Stationary Distribution Shift Regularization
The Viet Bui
Thanh Hong Nguyen
Tien Mai
OffRL
28
0
0
02 Oct 2024
Exploiting Structure in Offline Multi-Agent RL: The Benefits of Low
  Interaction Rank
Exploiting Structure in Offline Multi-Agent RL: The Benefits of Low Interaction Rank
Wenhao Zhan
Scott Fujimoto
Zheqing Zhu
Jason D. Lee
Daniel Jiang
Yonathan Efroni
OffRL
29
0
0
01 Oct 2024
Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining
Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining
Jie Cheng
Ruixi Qiao
Gang Xiong
Binhua Li
Yingwei Ma
Binhua Li
Yongbin Li
Yisheng Lv
OffRL
OnRL
LM&Ro
50
3
0
01 Oct 2024
DMC-VB: A Benchmark for Representation Learning for Control with Visual
  Distractors
DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors
Joseph Ortiz
Antoine Dedieu
Wolfgang Lehrach
Swaroop Guntupalli
Carter Wendelken
Ahmad Humayun
Guangyao Zhou
Sivaramakrishnan Swaminathan
Miguel Lázaro-Gredilla
Kevin P. Murphy
OffRL
49
1
0
26 Sep 2024
OffRIPP: Offline RL-based Informative Path Planning
OffRIPP: Offline RL-based Informative Path Planning
Srikar Babu Gadipudi
Srujan Deolasee
Siva Kailas
Wenhao Luo
Katia P. Sycara
Woojun Kim
OffRL
32
2
0
25 Sep 2024
Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection
Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection
Matteo Zecchin
Sangwoo Park
Osvaldo Simeone
LM&MA
74
3
0
24 Sep 2024
An Offline Adaptation Framework for Constrained Multi-Objective
  Reinforcement Learning
An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning
Qian Lin
Zongkai Liu
Danying Mo
Chao Yu
OffRL
28
1
0
16 Sep 2024
xTED: Cross-Domain Adaptation via Diffusion-Based Trajectory Editing
xTED: Cross-Domain Adaptation via Diffusion-Based Trajectory Editing
Haoyi Niu
Qimao Chen
Tenglong Liu
Jianxiong Li
Guyue Zhou
Yi Zhang
Jianming Hu
Xianyuan Zhan
34
0
0
13 Sep 2024
Q-value Regularized Decision ConvFormer for Offline Reinforcement
  Learning
Q-value Regularized Decision ConvFormer for Offline Reinforcement Learning
Teng Yan
Zhendong Ruan
Yaobang Cai
Yu Han
Wenxian Li
Yang Zhang
OffRL
33
0
0
12 Sep 2024
The Role of Deep Learning Regularizations on Actors in Offline RL
The Role of Deep Learning Regularizations on Actors in Offline RL
Denis Tarasov
Anja Surina
Çağlar Gülçehre
OffRL
AI4CE
53
1
0
11 Sep 2024
BetterBodies: Reinforcement Learning guided Diffusion for Antibody
  Sequence Design
BetterBodies: Reinforcement Learning guided Diffusion for Antibody Sequence Design
Yannick Vogt
Mehdi Naouar
M. Kalweit
Christoph Cornelius Miething
Justus Duyster
Joschka Boedecker
Gabriel Kalweit
DiffM
32
0
0
09 Sep 2024
Surgical Task Automation Using Actor-Critic Frameworks and
  Self-Supervised Imitation Learning
Surgical Task Automation Using Actor-Critic Frameworks and Self-Supervised Imitation Learning
Jingshuai Liu
Alain Andres
Yonghang Jiang
Xichun Luo
Wenmiao Shu
Sotirios A. Tsaftaris
39
0
0
04 Sep 2024
MAPF-GPT: Imitation Learning for Multi-Agent Pathfinding at Scale
MAPF-GPT: Imitation Learning for Multi-Agent Pathfinding at Scale
Anton Andreychuk
Konstantin Yakovlev
Aleksandr I. Panov
A. Skrynnik
AI4CE
65
3
0
29 Aug 2024
Skills Regularized Task Decomposition for Multi-task Offline
  Reinforcement Learning
Skills Regularized Task Decomposition for Multi-task Offline Reinforcement Learning
Minjong Yoo
Sangwoo Cho
Honguk Woo
OffRL
37
10
0
28 Aug 2024
Optimization Solution Functions as Deterministic Policies for Offline
  Reinforcement Learning
Optimization Solution Functions as Deterministic Policies for Offline Reinforcement Learning
Vanshaj Khattar
Ming Jin
OffRL
18
0
0
27 Aug 2024
Unsupervised-to-Online Reinforcement Learning
Unsupervised-to-Online Reinforcement Learning
Junsu Kim
Seohong Park
Sergey Levine
OnRL
53
3
0
27 Aug 2024
SUMO: Search-Based Uncertainty Estimation for Model-Based Offline
  Reinforcement Learning
SUMO: Search-Based Uncertainty Estimation for Model-Based Offline Reinforcement Learning
Zhongjian Qiao
Jiafei Lyu
Kechen Jiao
Qi Liu
Xiu Li
OffRL
35
4
0
23 Aug 2024
SAMBO-RL: Shifts-aware Model-based Offline Reinforcement Learning
SAMBO-RL: Shifts-aware Model-based Offline Reinforcement Learning
Wang Luo
Haoran Li
Zicheng Zhang
Congying Han
Jiayu Lv
Tiande Guo
OffRL
46
1
0
23 Aug 2024
Offline Model-Based Reinforcement Learning with Anti-Exploration
Offline Model-Based Reinforcement Learning with Anti-Exploration
Padmanaba Srinivasan
William J. Knottenbelt
OffRL
54
0
0
20 Aug 2024
Hokoff: Real Game Dataset from Honor of Kings and its Offline
  Reinforcement Learning Benchmarks
Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks
Yun Qu
Boyuan Wang
Jianzhun Shao
Yuhang Jiang
Chen Chen
...
Qiang Fu
Wei Yang
Guang Yang
Lanxiao Huang
Xiangyang Ji
OffRL
51
9
0
20 Aug 2024
Enhancing Reinforcement Learning Through Guided Search
Enhancing Reinforcement Learning Through Guided Search
Jérôme Arjonilla
Abdallah Saffidine
Tristan Cazenave
OffRL
96
0
0
19 Aug 2024
D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning
D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning
Rafael Rafailov
Kyle Hatch
Anikait Singh
Laura Smith
Aviral Kumar
...
Victor Kolev
Philip J. Ball
Jiajun Wu
Chelsea Finn
Sergey Levine
OffRL
34
3
0
15 Aug 2024
Experimental evaluation of offline reinforcement learning for HVAC
  control in buildings
Experimental evaluation of offline reinforcement learning for HVAC control in buildings
Jun Wang
Linyan Li
Qi Liu
Yu Yang
OffRL
AI4CE
22
1
0
15 Aug 2024
q-exponential family for policy optimization
q-exponential family for policy optimization
Lingwei Zhu
Haseeb Shah
Han Wang
Yukie Nagai
Martha White
OffRL
78
0
0
14 Aug 2024
How to Solve Contextual Goal-Oriented Problems with Offline Datasets?
How to Solve Contextual Goal-Oriented Problems with Offline Datasets?
Ying Fan
Jingling Li
Adith Swaminathan
Aditya Modi
Ching-An Cheng
OffRL
72
0
0
14 Aug 2024
F1tenth Autonomous Racing With Offline Reinforcement Learning Methods
F1tenth Autonomous Racing With Offline Reinforcement Learning Methods
Prajwal Koirala
Cody Fleming
OffRL
32
1
0
08 Aug 2024
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