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D4RL: Datasets for Deep Data-Driven Reinforcement Learning

D4RL: Datasets for Deep Data-Driven Reinforcement Learning

15 April 2020
Justin Fu
Aviral Kumar
Ofir Nachum
George Tucker
Sergey Levine
    GP
    OffRL
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Papers citing "D4RL: Datasets for Deep Data-Driven Reinforcement Learning"

50 / 927 papers shown
Title
Identifying Selections for Unsupervised Subtask Discovery
Identifying Selections for Unsupervised Subtask Discovery
Yiwen Qiu
Yujia Zheng
Anton van den Hengel
32
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-to-Online Multi-Agent Reinforcement Learning with Offline Value
  Function Memory and Sequential Exploration
Offline-to-Online Multi-Agent Reinforcement Learning with Offline Value Function Memory and Sequential Exploration
Hai Zhong
Xun Wang
Zhuoran Li
Longbo Huang
OffRL
OnRL
29
0
0
25 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
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration
Max Wilcoxson
Qiyang Li
Kevin Frans
Sergey Levine
SSL
OffRL
OnRL
57
0
0
23 Oct 2024
RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean
  Metric Space
RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space
Jingdi Chen
Hanhan Zhou
Yongsheng Mei
Carlee Joe-Wong
Gina Adam
Nathaniel D. Bastian
Tian-Shing Lan
OffRL
30
0
0
21 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
Vision-Language Navigation with Energy-Based Policy
Vision-Language Navigation with Energy-Based Policy
Rui Liu
Wenguan Wang
Yuqing Yang
40
3
0
18 Oct 2024
Latent Weight Diffusion: Generating Policies from Trajectories
Latent Weight Diffusion: Generating Policies from Trajectories
Shashank Hegde
G. Salhotra
Gaurav Sukhatme
25
0
0
17 Oct 2024
An Evolved Universal Transformer Memory
An Evolved Universal Transformer Memory
Edoardo Cetin
Qi Sun
Tianyu Zhao
Yujin Tang
146
0
0
17 Oct 2024
Steering Your Generalists: Improving Robotic Foundation Models via Value Guidance
Steering Your Generalists: Improving Robotic Foundation Models via Value Guidance
Mitsuhiko Nakamoto
Oier Mees
Aviral Kumar
Sergey Levine
OffRL
79
13
0
17 Oct 2024
Off-dynamics Conditional Diffusion Planners
Off-dynamics Conditional Diffusion Planners
Wen Zheng Terence Ng
Jianda Chen
Tianwei Zhang
DiffM
OffRL
35
0
0
16 Oct 2024
Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World
  Model Disentanglement
Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement
Zhi Wang
Li Lyna Zhang
Wenhao Wu
Yuanheng Zhu
Dongbin Zhao
C. L. Philip Chen
OffRL
37
6
0
15 Oct 2024
DIAR: Diffusion-model-guided Implicit Q-learning with Adaptive
  Revaluation
DIAR: Diffusion-model-guided Implicit Q-learning with Adaptive Revaluation
Jaehyun Park
Yunho Kim
Sejin Kim
Byung-Jun Lee
Sundong Kim
OffRL
30
1
0
15 Oct 2024
Bayes Adaptive Monte Carlo Tree Search for Offline Model-based
  Reinforcement Learning
Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement Learning
Jiayu Chen
Wentse Chen
Jeff Schneider
OffRL
31
1
0
15 Oct 2024
Zero-Shot Offline Imitation Learning via Optimal Transport
Zero-Shot Offline Imitation Learning via Optimal Transport
Thomas Rupf
Marco Bagatella
Nico Gürtler
Jonas Frey
Georg Martius
OffRL
133
0
0
11 Oct 2024
Diffusion Imitation from Observation
Diffusion Imitation from Observation
Bo-Ruei Huang
Chun-Kai Yang
Chun-Mao Lai
Dai-Jie Wu
Shao-Hua Sun
39
4
0
07 Oct 2024
Diffusion Model Predictive Control
Diffusion Model Predictive Control
Guangyao Zhou
Sivaramakrishnan Swaminathan
Rajkumar Vasudeva Raju
J. S. Guntupalli
Wolfgang Lehrach
Joseph Ortiz
Antoine Dedieu
Miguel Lázaro-Gredilla
Kevin P. Murphy
31
6
0
07 Oct 2024
Active Fine-Tuning of Generalist Policies
Active Fine-Tuning of Generalist Policies
Marco Bagatella
Jonas Hübotter
Georg Martius
Andreas Krause
32
0
0
07 Oct 2024
Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling
Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling
Jasmine Bayrooti
Carl Henrik Ek
Amanda Prorok
42
0
0
07 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
Predictive Coding for Decision Transformer
Predictive Coding for Decision Transformer
Tung M. Luu
Donghoon Lee
Chang D. Yoo
OffRL
58
2
0
04 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
Diffusion Meets Options: Hierarchical Generative Skill Composition for
  Temporally-Extended Tasks
Diffusion Meets Options: Hierarchical Generative Skill Composition for Temporally-Extended Tasks
Zeyu Feng
Hao Luan
Kevin Yuchen Ma
Harold Soh
32
2
0
03 Oct 2024
Were RNNs All We Needed?
Were RNNs All We Needed?
Leo Feng
Frederick Tung
Mohamed Osama Ahmed
Yoshua Bengio
Hossein Hajimirsadegh
AI4TS
29
14
1
02 Oct 2024
Contrastive Abstraction for Reinforcement Learning
Contrastive Abstraction for Reinforcement Learning
Vihang Patil
M. Hofmarcher
Elisabeth Rumetshofer
Sepp Hochreiter
OffRL
SSL
24
2
0
01 Oct 2024
RAIL: Reachability-Aided Imitation Learning for Safe Policy Execution
RAIL: Reachability-Aided Imitation Learning for Safe Policy Execution
Wonsuhk Jung
Dennis Anthony
Utkarsh Aashu Mishra
Nadun Ranawaka Arachchige
Matthew Bronars
Danfei Xu
Shreyas Kousik
31
0
0
28 Sep 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
COSBO: Conservative Offline Simulation-Based Policy Optimization
COSBO: Conservative Offline Simulation-Based Policy Optimization
E. Kargar
Ville Kyrki
OffRL
33
0
0
22 Sep 2024
Putting Data at the Centre of Offline Multi-Agent Reinforcement Learning
Putting Data at the Centre of Offline Multi-Agent Reinforcement Learning
Claude Formanek
Louise Beyers
C. Tilbury
Jonathan P. Shock
Arnu Pretorius
OffRL
34
0
0
18 Sep 2024
KAN v.s. MLP for Offline Reinforcement Learning
KAN v.s. MLP for Offline Reinforcement Learning
Haihong Guo
Fengxin Li
Jiao Li
Hongyan Liu
OffRL
33
0
0
15 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
Online Decision MetaMorphFormer: A Casual Transformer-Based
  Reinforcement Learning Framework of Universal Embodied Intelligence
Online Decision MetaMorphFormer: A Casual Transformer-Based Reinforcement Learning Framework of Universal Embodied Intelligence
Luo Ji
Runji Lin
OffRL
AI4CE
LM&Ro
26
0
0
11 Sep 2024
Enhancing Cross-domain Pre-Trained Decision Transformers with Adaptive
  Attention
Enhancing Cross-domain Pre-Trained Decision Transformers with Adaptive Attention
Wenhao Zhao
Qiushui Xu
Linjie Xu
Lei Song
Jinyu Wang
Chunlai Zhou
Jiang Bian
34
0
0
11 Sep 2024
Forward KL Regularized Preference Optimization for Aligning Diffusion
  Policies
Forward KL Regularized Preference Optimization for Aligning Diffusion Policies
Zhao Shan
Chenyou Fan
Shuang Qiu
Jiyuan Shi
Chenjia Bai
40
4
0
09 Sep 2024
Improving Deep Reinforcement Learning by Reducing the Chain Effect of
  Value and Policy Churn
Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn
Hongyao Tang
Glen Berseth
OffRL
40
1
0
07 Sep 2024
The Prevalence of Neural Collapse in Neural Multivariate Regression
The Prevalence of Neural Collapse in Neural Multivariate Regression
George Andriopoulos
Zixuan Dong
Li Guo
Zifan Zhao
Keith Ross
47
3
0
06 Sep 2024
Goal-Reaching Policy Learning from Non-Expert Observations via Effective
  Subgoal Guidance
Goal-Reaching Policy Learning from Non-Expert Observations via Effective Subgoal Guidance
Renming Huang
Shaochong Liu
Yunqiang Pei
Peng Wang
Guoqing Wang
Yang Yang
Hengtao Shen
OffRL
34
0
0
06 Sep 2024
Diffusion Policy Policy Optimization
Diffusion Policy Policy Optimization
Allen Z. Ren
Justin Lidard
Lars L. Ankile
Anthony Simeonov
Pulkit Agrawal
Anirudha Majumdar
Benjamin Burchfiel
Hongkai Dai
Max Simchowitz
45
36
0
01 Sep 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
Domain Adaptation for Offline Reinforcement Learning with Limited Samples
Domain Adaptation for Offline Reinforcement Learning with Limited Samples
Weiqin Chen
Sandipan Mishra
Santiago Paternain
OffRL
40
2
0
22 Aug 2024
Offline Policy Learning via Skill-step Abstraction for Long-horizon
  Goal-Conditioned Tasks
Offline Policy Learning via Skill-step Abstraction for Long-horizon Goal-Conditioned Tasks
Donghoon Kim
Minjong Yoo
Honguk Woo
OffRL
19
0
0
21 Aug 2024
RP1M: A Large-Scale Motion Dataset for Piano Playing with Bi-Manual
  Dexterous Robot Hands
RP1M: A Large-Scale Motion Dataset for Piano Playing with Bi-Manual Dexterous Robot Hands
Yi Zhao
Le Chen
Jan Schneider
Quankai Gao
Arno Solin
Bernhard Scholkopf
Joni Pajarinen
Le Chen
30
1
0
20 Aug 2024
Offline Model-Based Reinforcement Learning with Anti-Exploration
Offline Model-Based Reinforcement Learning with Anti-Exploration
Padmanaba Srinivasan
William J. Knottenbelt
OffRL
51
0
0
20 Aug 2024
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