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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
Hierarchical Planning Through Goal-Conditioned Offline Reinforcement
  Learning
Hierarchical Planning Through Goal-Conditioned Offline Reinforcement Learning
Jinning Li
Chen Tang
M. Tomizuka
Wei Zhan
OffRL
53
57
0
24 May 2022
When Data Geometry Meets Deep Function: Generalizing Offline
  Reinforcement Learning
When Data Geometry Meets Deep Function: Generalizing Offline Reinforcement Learning
Jianxiong Li
Xianyuan Zhan
Haoran Xu
Xiangyu Zhu
Jingjing Liu
Ya-Qin Zhang
OffRL
35
24
0
23 May 2022
Chain of Thought Imitation with Procedure Cloning
Chain of Thought Imitation with Procedure Cloning
Mengjiao Yang
Dale Schuurmans
Pieter Abbeel
Ofir Nachum
OffRL
30
29
0
22 May 2022
Offline Policy Comparison with Confidence: Benchmarks and Baselines
Offline Policy Comparison with Confidence: Benchmarks and Baselines
Anurag Koul
Mariano Phielipp
Alan Fern
OffRL
28
0
0
22 May 2022
Planning with Diffusion for Flexible Behavior Synthesis
Planning with Diffusion for Flexible Behavior Synthesis
Michael Janner
Yilun Du
J. Tenenbaum
Sergey Levine
DiffM
202
632
0
20 May 2022
A cGAN Ensemble-based Uncertainty-aware Surrogate Model for Offline
  Model-based Optimization in Industrial Control Problems
A cGAN Ensemble-based Uncertainty-aware Surrogate Model for Offline Model-based Optimization in Industrial Control Problems
Cheng Feng
OffRL
AI4CE
22
0
0
15 May 2022
A Generalist Agent
A Generalist Agent
Scott E. Reed
Konrad Zolna
Emilio Parisotto
Sergio Gomez Colmenarejo
Alexander Novikov
...
Yutian Chen
R. Hadsell
Oriol Vinyals
Mahyar Bordbar
Nando de Freitas
LM&Ro
LLMAG
AI4CE
56
787
0
12 May 2022
Learning Value Functions from Undirected State-only Experience
Learning Value Functions from Undirected State-only Experience
Matthew Chang
Arjun Gupta
Saurabh Gupta
OffRL
13
8
0
26 Apr 2022
Skill-based Meta-Reinforcement Learning
Skill-based Meta-Reinforcement Learning
Taewook Nam
Shao-Hua Sun
Karl Pertsch
Sung Ju Hwang
Joseph J. Lim
OffRL
26
45
0
25 Apr 2022
Task-Induced Representation Learning
Task-Induced Representation Learning
Jun Yamada
Karl Pertsch
Anisha Gunjal
Joseph J. Lim
SSL
22
13
0
25 Apr 2022
When Should We Prefer Offline Reinforcement Learning Over Behavioral
  Cloning?
When Should We Prefer Offline Reinforcement Learning Over Behavioral Cloning?
Aviral Kumar
Joey Hong
Anika Singh
Sergey Levine
OffRL
22
76
0
12 Apr 2022
Configuration Path Control
Configuration Path Control
S. Pankov
19
1
0
05 Apr 2022
Jump-Start Reinforcement Learning
Jump-Start Reinforcement Learning
Ikechukwu Uchendu
Ted Xiao
Yao Lu
Banghua Zhu
Mengyuan Yan
...
Chuyuan Fu
Cong Ma
Jiantao Jiao
Sergey Levine
Karol Hausman
OffRL
OnRL
35
109
0
05 Apr 2022
Dataset Distillation by Matching Training Trajectories
Dataset Distillation by Matching Training Trajectories
George Cazenavette
Tongzhou Wang
Antonio Torralba
Alexei A. Efros
Jun-Yan Zhu
FedML
DD
70
363
0
22 Mar 2022
Teachable Reinforcement Learning via Advice Distillation
Teachable Reinforcement Learning via Advice Distillation
Olivia Watkins
Trevor Darrell
Pieter Abbeel
Jacob Andreas
Abhishek Gupta
OffRL
14
3
0
19 Mar 2022
Latent-Variable Advantage-Weighted Policy Optimization for Offline RL
Latent-Variable Advantage-Weighted Policy Optimization for Offline RL
Xi Chen
Ali Ghadirzadeh
Tianhe Yu
Yuan Gao
Jianhao Wang
Wenzhe Li
Bin Liang
Chelsea Finn
Chongjie Zhang
OffRL
32
14
0
16 Mar 2022
RB2: Robotic Manipulation Benchmarking with a Twist
RB2: Robotic Manipulation Benchmarking with a Twist
Sudeep Dasari
Jianren Wang
Joyce Hong
Shikhar Bahl
Yixin Lin
...
David Held
Lerrel Pinto
Deepak Pathak
Vikash Kumar
Abhi Gupta
24
27
0
15 Mar 2022
DARA: Dynamics-Aware Reward Augmentation in Offline Reinforcement
  Learning
DARA: Dynamics-Aware Reward Augmentation in Offline Reinforcement Learning
Jinxin Liu
Hongyin Zhang
Donglin Wang
OffRL
24
32
0
13 Mar 2022
The Health Gym: Synthetic Health-Related Datasets for the Development of
  Reinforcement Learning Algorithms
The Health Gym: Synthetic Health-Related Datasets for the Development of Reinforcement Learning Algorithms
N. Kuo
Mark Polizzotto
S. Finfer
Federico Garcia
Anders Sönnerborg
Maurizio Zazzi
Michael Böhm
Louisa R Jorm
S. Barbieri
OOD
38
28
0
12 Mar 2022
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control
Simone Parisi
Aravind Rajeswaran
Senthil Purushwalkam
Abhinav Gupta
LM&Ro
31
187
0
07 Mar 2022
A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open
  Problems
A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems
Rafael Figueiredo Prudencio
Marcos R. O. A. Máximo
Esther Luna Colombini
OffRL
20
221
0
02 Mar 2022
LobsDICE: Offline Learning from Observation via Stationary Distribution
  Correction Estimation
LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation
Geon-hyeong Kim
Jongmin Lee
Youngsoo Jang
Hongseok Yang
Kyungmin Kim
OffRL
25
15
0
28 Feb 2022
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement
  Learning
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning
Chenjia Bai
Lingxiao Wang
Zhuoran Yang
Zhihong Deng
Animesh Garg
Peng Liu
Zhaoran Wang
OffRL
28
132
0
23 Feb 2022
A Behavior Regularized Implicit Policy for Offline Reinforcement
  Learning
A Behavior Regularized Implicit Policy for Offline Reinforcement Learning
Shentao Yang
Zhendong Wang
Huangjie Zheng
Yihao Feng
Mingyuan Zhou
OffRL
6
8
0
19 Feb 2022
Design-Bench: Benchmarks for Data-Driven Offline Model-Based
  Optimization
Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization
Brandon Trabucco
Xinyang Geng
Aviral Kumar
Sergey Levine
OffRL
26
95
0
17 Feb 2022
Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium
  Learning from Offline Datasets
Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets
Han Zhong
Wei Xiong
Jiyuan Tan
Liwei Wang
Tong Zhang
Zhaoran Wang
Zhuoran Yang
OffRL
24
37
0
15 Feb 2022
Flowformer: Linearizing Transformers with Conservation Flows
Flowformer: Linearizing Transformers with Conservation Flows
Haixu Wu
Jialong Wu
Jiehui Xu
Jianmin Wang
Mingsheng Long
14
90
0
13 Feb 2022
Supported Policy Optimization for Offline Reinforcement Learning
Supported Policy Optimization for Offline Reinforcement Learning
Jialong Wu
Haixu Wu
Zihan Qiu
Jianmin Wang
Mingsheng Long
OffRL
35
64
0
13 Feb 2022
Online Decision Transformer
Online Decision Transformer
Qinqing Zheng
Amy Zhang
Aditya Grover
OffRL
16
204
0
11 Feb 2022
Rethinking Goal-conditioned Supervised Learning and Its Connection to
  Offline RL
Rethinking Goal-conditioned Supervised Learning and Its Connection to Offline RL
Rui Yang
Yiming Lu
Wenzhe Li
Hao Sun
Meng Fang
Yali Du
Xiu Li
Lei Han
Chongjie Zhang
OffRL
43
65
0
09 Feb 2022
A Ranking Game for Imitation Learning
A Ranking Game for Imitation Learning
Harshit S. Sikchi
Akanksha Saran
Wonjoon Goo
S. Niekum
OffRL
19
22
0
07 Feb 2022
Model-Based Offline Meta-Reinforcement Learning with Regularization
Model-Based Offline Meta-Reinforcement Learning with Regularization
Sen Lin
Jialin Wan
Tengyu Xu
Yingbin Liang
Junshan Zhang
OffRL
31
17
0
07 Feb 2022
Adversarially Trained Actor Critic for Offline Reinforcement Learning
Adversarially Trained Actor Critic for Offline Reinforcement Learning
Ching-An Cheng
Tengyang Xie
Nan Jiang
Alekh Agarwal
OffRL
11
125
0
05 Feb 2022
Versatile Offline Imitation from Observations and Examples via
  Regularized State-Occupancy Matching
Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching
Yecheng Jason Ma
Andrew Shen
Dinesh Jayaraman
Osbert Bastani
OffRL
23
32
0
04 Feb 2022
How to Leverage Unlabeled Data in Offline Reinforcement Learning
How to Leverage Unlabeled Data in Offline Reinforcement Learning
Tianhe Yu
Aviral Kumar
Yevgen Chebotar
Karol Hausman
Chelsea Finn
Sergey Levine
OffRL
29
61
0
03 Feb 2022
Imitation Learning by Estimating Expertise of Demonstrators
Imitation Learning by Estimating Expertise of Demonstrators
M. Beliaev
Andy Shih
Stefano Ermon
Dorsa Sadigh
Ramtin Pedarsani
40
48
0
02 Feb 2022
A General, Evolution-Inspired Reward Function for Social Robotics
A General, Evolution-Inspired Reward Function for Social Robotics
Thomas Kingsford
16
0
0
01 Feb 2022
Don't Change the Algorithm, Change the Data: Exploratory Data for
  Offline Reinforcement Learning
Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning
Denis Yarats
David Brandfonbrener
Hao Liu
Michael Laskin
Pieter Abbeel
A. Lazaric
Lerrel Pinto
OffRL
OnRL
19
84
0
31 Jan 2022
Can Wikipedia Help Offline Reinforcement Learning?
Can Wikipedia Help Offline Reinforcement Learning?
Machel Reid
Yutaro Yamada
S. Gu
3DV
RALM
OffRL
140
95
0
28 Jan 2022
Transfering Hierarchical Structure with Dual Meta Imitation Learning
Transfering Hierarchical Structure with Dual Meta Imitation Learning
Chongkai Gao
Yizhou Jiang
F. Chen
30
8
0
28 Jan 2022
The Challenges of Exploration for Offline Reinforcement Learning
The Challenges of Exploration for Offline Reinforcement Learning
Nathan Lambert
Markus Wulfmeier
William F. Whitney
Arunkumar Byravan
Michael Bloesch
Vibhavari Dasagi
Tim Hertweck
Martin Riedmiller
OffRL
28
27
0
27 Jan 2022
MOORe: Model-based Offline-to-Online Reinforcement Learning
MOORe: Model-based Offline-to-Online Reinforcement Learning
Yihuan Mao
Chao Wang
Bin Wang
Chongjie Zhang
OffRL
OnRL
31
14
0
25 Jan 2022
Single-Shot Pruning for Offline Reinforcement Learning
Single-Shot Pruning for Offline Reinforcement Learning
Samin Yeasar Arnob
Riyasat Ohib
Sergey Plis
Doina Precup
OffRL
17
22
0
31 Dec 2021
Importance of Empirical Sample Complexity Analysis for Offline
  Reinforcement Learning
Importance of Empirical Sample Complexity Analysis for Offline Reinforcement Learning
Samin Yeasar Arnob
Riashat Islam
Doina Precup
OffRL
16
4
0
31 Dec 2021
RvS: What is Essential for Offline RL via Supervised Learning?
RvS: What is Essential for Offline RL via Supervised Learning?
Scott Emmons
Benjamin Eysenbach
Ilya Kostrikov
Sergey Levine
OffRL
31
170
0
20 Dec 2021
DR3: Value-Based Deep Reinforcement Learning Requires Explicit
  Regularization
DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization
Aviral Kumar
Rishabh Agarwal
Tengyu Ma
Aaron Courville
George Tucker
Sergey Levine
OffRL
31
65
0
09 Dec 2021
Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence
  Model Tackles All SMAC Tasks
Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Tackles All SMAC Tasks
Linghui Meng
Muning Wen
Yaodong Yang
Chenyang Le
Xiyun Li
Weinan Zhang
Ying Wen
Haifeng Zhang
Jun Wang
Bo Xu
OffRL
26
38
0
06 Dec 2021
The Surprising Effectiveness of Representation Learning for Visual
  Imitation
The Surprising Effectiveness of Representation Learning for Visual Imitation
Jyothish Pari
Nur Muhammad (Mahi) Shafiullah
Sridhar Pandian Arunachalam
Lerrel Pinto
SSL
25
156
0
02 Dec 2021
Quantile Filtered Imitation Learning
Quantile Filtered Imitation Learning
David Brandfonbrener
William F. Whitney
Rajesh Ranganath
Joan Bruna
23
6
0
02 Dec 2021
Improving Zero-shot Generalization in Offline Reinforcement Learning
  using Generalized Similarity Functions
Improving Zero-shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions
Bogdan Mazoure
Ilya Kostrikov
Ofir Nachum
Jonathan Tompson
OffRL
51
21
0
29 Nov 2021
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