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URLB: Unsupervised Reinforcement Learning Benchmark

URLB: Unsupervised Reinforcement Learning Benchmark

28 October 2021
Michael Laskin
Denis Yarats
Hao Liu
Kimin Lee
Albert Zhan
Kevin Lu
Catherine Cang
Lerrel Pinto
Pieter Abbeel
    SSL
    OffRL
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Papers citing "URLB: Unsupervised Reinforcement Learning Benchmark"

26 / 26 papers shown
Title
Behavioral Entropy-Guided Dataset Generation for Offline Reinforcement Learning
Behavioral Entropy-Guided Dataset Generation for Offline Reinforcement Learning
Wesley A. Suttle
A. Suresh
Carlos Nieto-Granda
OffRL
88
0
0
06 Feb 2025
DIAL: Distribution-Informed Adaptive Learning of Multi-Task Constraints for Safety-Critical Systems
DIAL: Distribution-Informed Adaptive Learning of Multi-Task Constraints for Safety-Critical Systems
Se-Wook Yoo
Seung-Woo Seo
48
0
0
30 Jan 2025
Sample-efficient Unsupervised Policy Cloning from Ensemble Self-supervised Labeled Videos
Sample-efficient Unsupervised Policy Cloning from Ensemble Self-supervised Labeled Videos
Xin Liu
Yaran Chen
Haoran Li
SSL
94
0
0
14 Dec 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
77
0
0
11 Oct 2024
RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning
RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning
Mingqi Yuan
Roger Creus Castanyer
Bo Li
Xin Jin
Glen Berseth
Wenjun Zeng
29
0
0
29 May 2024
Learning Future Representation with Synthetic Observations for
  Sample-efficient Reinforcement Learning
Learning Future Representation with Synthetic Observations for Sample-efficient Reinforcement Learning
Xin Liu
Yaran Chen
Dong Zhao
35
1
0
20 May 2024
Augmenting Unsupervised Reinforcement Learning with Self-Reference
Augmenting Unsupervised Reinforcement Learning with Self-Reference
Andrew Zhao
Erle Zhu
Rui Lu
Matthieu Lin
Yong-Jin Liu
Gao Huang
SSL
14
1
0
16 Nov 2023
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction
Seohong Park
Oleh Rybkin
Sergey Levine
OffRL
28
34
0
13 Oct 2023
Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate
  Exploration Bias
Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate Exploration Bias
Max Sobol Mark
Archit Sharma
Fahim Tajwar
Rafael Rafailov
Sergey Levine
Chelsea Finn
OffRL
OnRL
19
1
0
12 Oct 2023
Pre-training Contextualized World Models with In-the-wild Videos for
  Reinforcement Learning
Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning
Jialong Wu
Haoyu Ma
Chao Deng
Mingsheng Long
OffRL
19
24
0
29 May 2023
Cross-domain Random Pre-training with Prototypes for Reinforcement Learning
Cross-domain Random Pre-training with Prototypes for Reinforcement Learning
Xin Liu
Yaran Chen
Haoran Li
Boyu Li
Dong Zhao
SSL
47
10
0
11 Feb 2023
Investigating the role of model-based learning in exploration and
  transfer
Investigating the role of model-based learning in exploration and transfer
Jacob Walker
Eszter Vértes
Yazhe Li
Gabriel Dulac-Arnold
Ankesh Anand
T. Weber
Jessica B. Hamrick
OffRL
26
6
0
08 Feb 2023
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward
  Shaping
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping
Lina Mezghani
Sainbayar Sukhbaatar
Piotr Bojanowski
A. Lazaric
Alahari Karteek
OffRL
32
17
0
05 Jan 2023
CIM: Constrained Intrinsic Motivation for Sparse-Reward Continuous Control
Xiang Zheng
Xingjun Ma
Cong Wang
16
1
0
28 Nov 2022
Choreographer: Learning and Adapting Skills in Imagination
Choreographer: Learning and Adapting Skills in Imagination
Pietro Mazzaglia
Tim Verbelen
Bart Dhoedt
Alexandre Lacoste
Sai Rajeswar
19
21
0
23 Nov 2022
Learning General World Models in a Handful of Reward-Free Deployments
Learning General World Models in a Handful of Reward-Free Deployments
Yingchen Xu
Jack Parker-Holder
Aldo Pacchiano
Philip J. Ball
Oleh Rybkin
Stephen J. Roberts
Tim Rocktaschel
Edward Grefenstette
OffRL
53
8
0
23 Oct 2022
A Mixture of Surprises for Unsupervised Reinforcement Learning
A Mixture of Surprises for Unsupervised Reinforcement Learning
Andrew Zhao
Matthieu Lin
Yangguang Li
Y. Liu
Gao Huang
23
12
0
13 Oct 2022
Does Zero-Shot Reinforcement Learning Exist?
Does Zero-Shot Reinforcement Learning Exist?
Ahmed Touati
Jérémy Rapin
Yann Ollivier
OffRL
20
38
0
29 Sep 2022
Impact Makes a Sound and Sound Makes an Impact: Sound Guides
  Representations and Explorations
Impact Makes a Sound and Sound Makes an Impact: Sound Guides Representations and Explorations
Xufeng Zhao
C. Weber
Muhammad Burhan Hafez
S. Wermter
18
7
0
04 Aug 2022
Nuclear Norm Maximization Based Curiosity-Driven Learning
Nuclear Norm Maximization Based Curiosity-Driven Learning
Chao Chen
Zijian Gao
Kele Xu
Sen Yang
Yiying Li
Bo Ding
Dawei Feng
Huaimin Wang
59
5
0
21 May 2022
Learn-to-Race Challenge 2022: Benchmarking Safe Learning and
  Cross-domain Generalisation in Autonomous Racing
Learn-to-Race Challenge 2022: Benchmarking Safe Learning and Cross-domain Generalisation in Autonomous Racing
Jonathan M Francis
Bingqing Chen
Siddha Ganju
Sidharth Kathpal
Jyotish Poonganam
...
Ivan Zhukov
Max Kumskoy
Anirudh Koul
Jean Oh
Eric Nyberg
11
11
0
05 May 2022
Reinforcement Learning with Action-Free Pre-Training from Videos
Reinforcement Learning with Action-Free Pre-Training from Videos
Younggyo Seo
Kimin Lee
Stephen James
Pieter Abbeel
SSL
OnRL
16
115
0
25 Mar 2022
An Optical Control Environment for Benchmarking Reinforcement Learning
  Algorithms
An Optical Control Environment for Benchmarking Reinforcement Learning Algorithms
Abulikemu Abuduweili
Changliu Liu
12
1
0
23 Mar 2022
B-Pref: Benchmarking Preference-Based Reinforcement Learning
B-Pref: Benchmarking Preference-Based Reinforcement Learning
Kimin Lee
Laura M. Smith
Anca Dragan
Pieter Abbeel
OffRL
22
92
0
04 Nov 2021
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with
  Prototypical Representations
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations
Fei Deng
Ingook Jang
Sungjin Ahn
VLM
11
62
0
27 Oct 2021
Decoupling Representation Learning from Reinforcement Learning
Decoupling Representation Learning from Reinforcement Learning
Adam Stooke
Kimin Lee
Pieter Abbeel
Michael Laskin
SSL
DRL
276
339
0
14 Sep 2020
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