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2006.10742
Cited By
Learning Invariant Representations for Reinforcement Learning without Reconstruction
18 June 2020
Amy Zhang
R. McAllister
Roberto Calandra
Y. Gal
Sergey Levine
OOD
SSL
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Papers citing
"Learning Invariant Representations for Reinforcement Learning without Reconstruction"
50 / 240 papers shown
Title
Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning
Zhecheng Yuan
Zhengrong Xue
Bo Yuan
Xueqian Wang
Yi Wu
Yang Gao
Huazhe Xu
SSL
OffRL
46
70
0
17 Dec 2022
Latent Variable Representation for Reinforcement Learning
Tongzheng Ren
Chenjun Xiao
Tianjun Zhang
Na Li
Zhaoran Wang
Sujay Sanghavi
Dale Schuurmans
Bo Dai
OffRL
33
10
0
17 Dec 2022
Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction
Brahma S. Pavse
Josiah P. Hanna
OffRL
32
7
0
14 Dec 2022
Policy Adaptation from Foundation Model Feedback
Yuying Ge
Annabella Macaluso
Erran L. Li
Ping Luo
Xiaolong Wang
LM&Ro
27
12
0
14 Dec 2022
Model-based trajectory stitching for improved behavioural cloning and its applications
Charles A. Hepburn
Giovanni Montana
OffRL
32
5
0
08 Dec 2022
Learning and Understanding a Disentangled Feature Representation for Hidden Parameters in Reinforcement Learning
Christopher P. Reale
Rebecca L. Russell
19
1
0
29 Nov 2022
Improved Representation of Asymmetrical Distances with Interval Quasimetric Embeddings
Tongzhou Wang
Phillip Isola
29
8
0
28 Nov 2022
Representation Learning for Continuous Action Spaces is Beneficial for Efficient Policy Learning
Tingting Zhao
Ying Wang
Weidong Sun
Yarui Chen
Gang Niu
Masashi Sugiyama
19
1
0
23 Nov 2022
Model-based Trajectory Stitching for Improved Offline Reinforcement Learning
Charles A. Hepburn
Giovanni Montana
OffRL
32
13
0
21 Nov 2022
Joint Embedding Predictive Architectures Focus on Slow Features
Vlad Sobal
V. JyothirS
Siddhartha Jalagam
Nicolas Carion
Kyunghyun Cho
Yann LeCun
24
8
0
20 Nov 2022
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments
Daniel Jarrett
Corentin Tallec
Florent Altché
Thomas Mesnard
Rémi Munos
Michal Valko
48
5
0
18 Nov 2022
Build generally reusable agent-environment interaction models
Jun Jin
Hongming Zhang
Jun Luo
23
0
0
13 Nov 2022
Rewards Encoding Environment Dynamics Improves Preference-based Reinforcement Learning
Katherine Metcalf
Miguel Sarabia
B. Theobald
OffRL
38
4
0
12 Nov 2022
Switching Attention in Time-Varying Environments via Bayesian Inference of Abstractions
Meghan Booker
Anirudha Majumdar
8
2
0
10 Nov 2022
Pretraining in Deep Reinforcement Learning: A Survey
Zhihui Xie
Zichuan Lin
Junyou Li
Shuai Li
Deheng Ye
OffRL
OnRL
AI4CE
26
23
0
08 Nov 2022
Reward-Predictive Clustering
Lucas Lehnert
M. Frank
Michael L. Littman
OffRL
25
0
0
07 Nov 2022
Behavior Prior Representation learning for Offline Reinforcement Learning
Hongyu Zang
Xin Li
Jie Yu
Chen Liu
Riashat Islam
Rémi Tachet des Combes
Romain Laroche
OffRL
OnRL
39
10
0
02 Nov 2022
Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for Industrial Insertion of Novel Connectors from Vision
Ashvin Nair
Brian Zhu
Gokul Narayanan
Eugen Solowjow
Sergey Levine
OffRL
OnRL
28
15
0
27 Oct 2022
LEAGUE: Guided Skill Learning and Abstraction for Long-Horizon Manipulation
Shuo Cheng
Danfei Xu
56
37
0
23 Oct 2022
Learning Robust Dynamics through Variational Sparse Gating
A. Jain
Shivakanth Sujit
S. Joshi
Vincent Michalski
Danijar Hafner
Samira Ebrahimi Kahou
27
8
0
21 Oct 2022
On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness
Haotian Ye
Xiaoyu Chen
Liwei Wang
S. Du
OffRL
37
6
0
19 Oct 2022
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation
Peide Huang
Mengdi Xu
Jiacheng Zhu
Laixi Shi
Fei Fang
Ding Zhao
CLL
44
24
0
18 Oct 2022
A Policy-Guided Imitation Approach for Offline Reinforcement Learning
Haoran Xu
Li Jiang
Jianxiong Li
Xianyuan Zhan
OffRL
26
62
0
15 Oct 2022
A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning
Guozheng Ma
Zhen Wang
Zhecheng Yuan
Xueqian Wang
Bo Yuan
Dacheng Tao
OffRL
45
27
0
10 Oct 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability
Mengdi Xu
Zuxin Liu
Peide Huang
Wenhao Ding
Zhepeng Cen
Bo-wen Li
Ding Zhao
79
45
0
16 Sep 2022
Look where you look! Saliency-guided Q-networks for generalization in visual Reinforcement Learning
David Bertoin
Adil Zouitine
Mehdi Zouitine
Emmanuel Rachelson
38
30
0
16 Sep 2022
Towards A Unified Policy Abstraction Theory and Representation Learning Approach in Markov Decision Processes
Mengdi Zhang
Hongyao Tang
Jianye Hao
Yan Zheng
OffRL
28
0
0
16 Sep 2022
Continuous MDP Homomorphisms and Homomorphic Policy Gradient
S. Rezaei-Shoshtari
Rosie Zhao
Prakash Panangaden
David Meger
Doina Precup
35
18
0
15 Sep 2022
Spectral Decomposition Representation for Reinforcement Learning
Tongzheng Ren
Tianjun Zhang
Lisa Lee
Joseph E. Gonzalez
Dale Schuurmans
Bo Dai
OffRL
40
27
0
19 Aug 2022
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning
Shuang Qiu
Lingxiao Wang
Chenjia Bai
Zhuoran Yang
Zhaoran Wang
SSL
OffRL
26
32
0
29 Jul 2022
Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step Inverse Models
Alex Lamb
Riashat Islam
Yonathan Efroni
Aniket Didolkar
Dipendra Kumar Misra
Dylan J. Foster
Lekan Molu
Rajan Chari
A. Krishnamurthy
John Langford
46
24
0
17 Jul 2022
Making Linear MDPs Practical via Contrastive Representation Learning
Tianjun Zhang
Tongzheng Ren
Mengjiao Yang
Joseph E. Gonzalez
Dale Schuurmans
Bo Dai
25
44
0
14 Jul 2022
Grounding Aleatoric Uncertainty for Unsupervised Environment Design
Minqi Jiang
Michael Dennis
Jack Parker-Holder
Andrei Lupu
Heinrich Küttler
Edward Grefenstette
Tim Rocktaschel
Jakob N. Foerster
43
13
0
11 Jul 2022
Offline Policy Optimization with Eligible Actions
Yao Liu
Yannis Flet-Berliac
Emma Brunskill
OffRL
25
5
0
01 Jul 2022
Masked World Models for Visual Control
Younggyo Seo
Danijar Hafner
Hao Liu
Fangchen Liu
Stephen James
Kimin Lee
Pieter Abbeel
OffRL
93
147
0
28 Jun 2022
On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL
Jinglin Chen
Aditya Modi
A. Krishnamurthy
Nan Jiang
Alekh Agarwal
38
25
0
21 Jun 2022
Actively learning to learn causal relationships
Chentian Jiang
Christopher G. Lucas
24
3
0
20 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning
Benjamin Eysenbach
Tianjun Zhang
Ruslan Salakhutdinov
Sergey Levine
SSL
OffRL
37
141
0
15 Jun 2022
Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels?
Xiang Li
Jinghuan Shang
Srijan Das
Michael S. Ryoo
SSL
33
31
0
10 Jun 2022
Sample-Efficient Reinforcement Learning in the Presence of Exogenous Information
Yonathan Efroni
Dylan J. Foster
Dipendra Kumar Misra
A. Krishnamurthy
John Langford
OffRL
31
25
0
09 Jun 2022
Meta-Learning Parameterized Skills
Haotian Fu
Shangqun Yu
Saket Tiwari
Michael Littman
George Konidaris
38
6
0
07 Jun 2022
Iso-Dream: Isolating and Leveraging Noncontrollable Visual Dynamics in World Models
Minting Pan
Xiangming Zhu
Yunbo Wang
Xiaokang Yang
29
39
0
27 May 2022
Chain of Thought Imitation with Procedure Cloning
Mengjiao Yang
Dale Schuurmans
Pieter Abbeel
Ofir Nachum
OffRL
35
30
0
22 May 2022
Learning Task-relevant Representations for Generalization via Characteristic Functions of Reward Sequence Distributions
Rui Yang
Jie Wang
Zijie Geng
Mingxuan Ye
Shuiwang Ji
Bin Li
Fengli Wu
OOD
36
20
0
20 May 2022
Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning
Philippe Hansen-Estruch
Amy Zhang
Ashvin Nair
Patrick Yin
Sergey Levine
AI4CE
33
28
0
27 Apr 2022
BATS: Best Action Trajectory Stitching
I. Char
Viraj Mehta
Adam R. Villaflor
John M. Dolan
J. Schneider
OffRL
32
8
0
26 Apr 2022
Local Feature Swapping for Generalization in Reinforcement Learning
David Bertoin
Emmanuel Rachelson
OOD
29
14
0
13 Apr 2022
Learning to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy Pretraining
Qihang Zhang
Zhenghao Peng
Bolei Zhou
SSL
30
38
0
05 Apr 2022
Reinforcement Learning with Action-Free Pre-Training from Videos
Younggyo Seo
Kimin Lee
Stephen James
Pieter Abbeel
SSL
OnRL
18
119
0
25 Mar 2022
Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning
L. Pullum
21
2
0
22 Mar 2022
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