Papers
Communities
Organizations
Events
Blog
Pricing
Feedback
Contact Sales
Search
Open menu
Home
Papers
2006.10742
Cited By
v1
v2 (latest)
Learning Invariant Representations for Reinforcement Learning without Reconstruction
18 June 2020
Amy Zhang
R. McAllister
Roberto Calandra
Y. Gal
Sergey Levine
OOD
SSL
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Learning Invariant Representations for Reinforcement Learning without Reconstruction"
50 / 329 papers shown
Title
State-Wise Safe Reinforcement Learning With Pixel Observations
S. Zhan
Yixuan Wang
Qingyuan Wu
Ruochen Jiao
Chao Huang
Qi Zhu
151
11
0
03 Nov 2023
Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving
Hao-ming Lin
Wenhao Ding
Zuxin Liu
Yaru Niu
Jiacheng Zhu
Yuming Niu
Ding Zhao
OffRL
144
13
0
31 Oct 2023
Offline RL with Observation Histories: Analyzing and Improving Sample Complexity
Joey Hong
Anca Dragan
Sergey Levine
OffRL
78
6
0
31 Oct 2023
State-Action Similarity-Based Representations for Off-Policy Evaluation
Brahma S. Pavse
Josiah P. Hanna
OffRL
99
3
0
27 Oct 2023
Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning
Hongyu Zang
Xin-hui Li
Leiji Zhang
Yang Liu
Baigui Sun
Riashat Islam
Rémi Tachet des Combes
Romain Laroche
OffRL
119
6
0
26 Oct 2023
Towards Control-Centric Representations in Reinforcement Learning from Images
Chen Liu
Hongyu Zang
Xin Li
Yong Heng
Yifei Wang
Zhen Fang
Yisen Wang
Mingzhong Wang
92
0
0
25 Oct 2023
Model-enhanced Contrastive Reinforcement Learning for Sequential Recommendation
Chengpeng Li
Zhengyi Yang
Jizhi Zhang
Jiancan Wu
Dingxian Wang
Xiangnan He
Xiang Wang
OffRL
107
1
0
25 Oct 2023
State Sequences Prediction via Fourier Transform for Representation Learning
Mingxuan Ye
Yufei Kuang
Jie Wang
Rui Yang
Wen-gang Zhou
Houqiang Li
Feng Wu
AI4TS
114
9
0
24 Oct 2023
CCIL: Continuity-based Data Augmentation for Corrective Imitation Learning
Liyiming Ke
Yunchu Zhang
Abhay Deshpande
S. Srinivasa
Abhishek Gupta
OffRL
100
18
0
19 Oct 2023
Improving Generalization of Alignment with Human Preferences through Group Invariant Learning
Rui Zheng
Wei Shen
Yuan Hua
Wenbin Lai
Shihan Dou
...
Xiao Wang
Haoran Huang
Tao Gui
Tao Gui
Xuanjing Huang
157
17
0
18 Oct 2023
What Matters to You? Towards Visual Representation Alignment for Robot Learning
Ran Tian
Chenfeng Xu
Masayoshi Tomizuka
Jitendra Malik
Andrea V. Bajcsy
101
13
0
11 Oct 2023
Deep Reinforcement Learning for Autonomous Cyber Operations: A Survey
Gregory Palmer
Chris Parry
Daniel J.B. Harrold
Chris Willis
AI4CE
128
2
0
11 Oct 2023
A Unified View on Solving Objective Mismatch in Model-Based Reinforcement Learning
Ran Wei
Nathan Lambert
Anthony D. McDonald
Alfredo Garcia
Roberto Calandra
123
7
0
10 Oct 2023
Memory-Consistent Neural Networks for Imitation Learning
Kaustubh Sridhar
Souradeep Dutta
Dinesh Jayaraman
James Weimer
Insup Lee
145
11
0
09 Oct 2023
Learning Generalizable Agents via Saliency-Guided Features Decorrelation
Sili Huang
Yanchao Sun
Jifeng Hu
Siyuan Guo
Hechang Chen
Yi-Ju Chang
Lichao Sun
Bo Yang
99
8
0
08 Oct 2023
AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems
Zhenghai Xue
Qingpeng Cai
Tianyou Zuo
Bin Yang
Lantao Hu
Peng Jiang
Kun Gai
103
3
0
06 Oct 2023
A Kernel Perspective on Behavioural Metrics for Markov Decision Processes
Pablo Samuel Castro
Tyler Kastner
Prakash Panangaden
Mark Rowland
107
5
0
05 Oct 2023
Sequential Action-Induced Invariant Representation for Reinforcement Learning
Dayang Liang
Qihang Chen
Yunlong Liu
111
5
0
22 Sep 2023
Hamiltonian Dynamics Learning from Point Cloud Observations for Nonholonomic Mobile Robot Control
Abdullah Altawaitan
Jason Stanley
Sambaran Ghosal
T. Duong
Nikolay Atanasov
145
2
0
17 Sep 2023
Equivariant Data Augmentation for Generalization in Offline Reinforcement Learning
Cristina Pinneri
Sarah Bechtle
Markus Wulfmeier
Arunkumar Byravan
Jingwei Zhang
William F. Whitney
Martin Riedmiller
OffRL
72
2
0
14 Sep 2023
Out of Distribution Detection via Domain-Informed Gaussian Process State Space Models
Alonso Marco
Elias Morley
Claire Tomlin
129
4
0
13 Sep 2023
RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability
Chuning Zhu
Max Simchowitz
Siri Gadipudi
Abhishek Gupta
144
14
0
31 Aug 2023
Adversarial Style Transfer for Robust Policy Optimization in Deep Reinforcement Learning
Md Masudur Rahman
Yexiang Xue
83
4
0
29 Aug 2023
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation
Wenhao Ding
Laixi Shi
Yuejie Chi
Ding Zhao
OOD
135
27
0
15 Jul 2023
RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization
Zhecheng Yuan
Sizhe Yang
Pu Hua
C. Chang
Kaizhe Hu
Huazhe Xu
OOD
OffRL
161
26
0
15 Jul 2023
Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning
Xiang Li
Varun Belagali
Jinghuan Shang
Michael S. Ryoo
169
36
0
04 Jul 2023
Causal Reinforcement Learning: A Survey
Zhi-Hong Deng
Jing Jiang
Guodong Long
Chen Zhang
CML
LRM
166
24
0
04 Jul 2023
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning
Ruijie Zheng
Xiyao Wang
Yanchao Sun
Shuang Ma
Jieyu Zhao
Huazhe Xu
Hal Daumé
Furong Huang
148
48
0
22 Jun 2023
SeMAIL: Eliminating Distractors in Visual Imitation via Separated Models
Shenghua Wan
Yucen Wang
Minghao Shao
Ruying Chen
De-Chuan Zhan
119
10
0
19 Jun 2023
A Universal Semantic-Geometric Representation for Robotic Manipulation
Tong Zhang
Yingdong Hu
Hanchen Cui
Hang Zhao
Yang Gao
172
20
0
18 Jun 2023
Simplified Temporal Consistency Reinforcement Learning
Yi Zhao
Wenshuai Zhao
Rinu Boney
Arno Solin
Joni Pajarinen
OffRL
106
15
0
15 Jun 2023
VIBR: Learning View-Invariant Value Functions for Robust Visual Control
Tom Dupuis
Jaonary Rabarisoa
Q. C. Pham
David Filliat
143
0
0
14 Jun 2023
Learning World Models with Identifiable Factorization
Yu-Ren Liu
Erdun Gao
Zhengmao Zhu
Hong Tian
Biwei Huang
Yang Yu
Kun Zhang
CML
OffRL
107
15
0
11 Jun 2023
On the Importance of Exploration for Generalization in Reinforcement Learning
Yiding Jiang
J. Zico Kolter
Roberta Raileanu
UQCV
OffRL
102
30
0
08 Jun 2023
Generalization Across Observation Shifts in Reinforcement Learning
Anuj Mahajan
Amy Zhang
OOD
OffRL
73
0
0
07 Jun 2023
Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL
Peng Cheng
Xianyuan Zhan
Zhihao Wu
Wenjia Zhang
Shoucheng Song
Han Wang
Youfang Lin
Li Jiang
OffRL
255
11
0
07 Jun 2023
Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data
Chongyi Zheng
Benjamin Eysenbach
Homer Walke
Patrick Yin
Kuan Fang
Ruslan Salakhutdinov
Sergey Levine
OffRL
SSL
174
7
0
06 Jun 2023
Learning Embeddings for Sequential Tasks Using Population of Agents
Mridul Mahajan
Georgios Tzannetos
Goran Radanović
Adish Singla
FedML
77
0
0
05 Jun 2023
For SALE: State-Action Representation Learning for Deep Reinforcement Learning
Scott Fujimoto
Wei-Di Chang
Edward James Smith
S. Gu
Doina Precup
David Meger
OffRL
165
62
0
04 Jun 2023
Normalization Enhances Generalization in Visual Reinforcement Learning
Lu Li
Jiafei Lyu
Guozheng Ma
Zilin Wang
Zhen Yang
Xiu Li
Zhiheng Li
OOD
106
11
0
01 Jun 2023
RLAD: Reinforcement Learning from Pixels for Autonomous Driving in Urban Environments
Daniel Coelho
Miguel Oliveira
Vítor M. F. Santos
70
6
0
29 May 2023
Provable Reward-Agnostic Preference-Based Reinforcement Learning
Wenhao Zhan
Masatoshi Uehara
Wen Sun
Jason D. Lee
130
12
0
29 May 2023
Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning
Jialong Wu
Haoyu Ma
Chao Deng
Mingsheng Long
OffRL
132
37
0
29 May 2023
Reinforcement Learning with Simple Sequence Priors
Tankred Saanum
N. Éltető
Peter Dayan
Marcel Binz
Eric Schulz
OffRL
67
10
0
26 May 2023
Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation
David Brandfonbrener
Ofir Nachum
Joan Bruna
AI4CE
145
21
0
26 May 2023
Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning
Guozheng Ma
Linrui Zhang
Haoyu Wang
Lu Li
Zilin Wang
Zhen Wang
Li Shen
Xueqian Wang
Dacheng Tao
128
18
0
25 May 2023
Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement Learning
Q. Wang
Jun Yang
Yunbo Wang
Xin Jin
Wenjun Zeng
Xiaokang Yang
OffRL
OnRL
143
3
0
24 May 2023
Conditional Mutual Information for Disentangled Representations in Reinforcement Learning
Mhairi Dunion
Trevor A. McInroe
K. Luck
Josiah P. Hanna
Stefano V. Albrecht
OOD
DRL
103
25
0
23 May 2023
Policy Gradient Methods in the Presence of Symmetries and State Abstractions
Prakash Panangaden
S. Rezaei-Shoshtari
Rosie Zhao
David Meger
Doina Precup
117
6
0
09 May 2023
Explainable Reinforcement Learning via a Causal World Model
Zhongwei Yu
Jingqing Ruan
Dengpeng Xing
CML
187
19
0
04 May 2023
Previous
1
2
3
4
5
6
7
Next