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Learning Invariant Representations for Reinforcement Learning without
  Reconstruction

Learning Invariant Representations for Reinforcement Learning without Reconstruction

18 June 2020
Amy Zhang
R. McAllister
Roberto Calandra
Y. Gal
Sergey Levine
    OOD
    SSL
ArXivPDFHTML

Papers citing "Learning Invariant Representations for Reinforcement Learning without Reconstruction"

50 / 240 papers shown
Title
Pre-Trained Image Encoder for Generalizable Visual Reinforcement
  Learning
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Actively learning to learn causal relationships
Chentian Jiang
Christopher G. Lucas
24
3
0
20 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning
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?
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
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
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
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
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
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
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
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
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
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
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
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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