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Generalization in Reinforcement Learning by Soft Data Augmentation

Generalization in Reinforcement Learning by Soft Data Augmentation

26 November 2020
Nicklas Hansen
Xiaolong Wang
    OffRL
ArXivPDFHTML

Papers citing "Generalization in Reinforcement Learning by Soft Data Augmentation"

45 / 45 papers shown
Title
Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning
Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning
Xinyue Wang
Zhen Zhang
OffRL
CML
29
0
0
13 May 2025
Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning
Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning
Chengkai Xu
Jiaqi Liu
Yicheng Guo
Wenjie Qu
Peng Hang
Jian Sun
31
0
0
11 May 2025
Merging and Disentangling Views in Visual Reinforcement Learning for Robotic Manipulation
Merging and Disentangling Views in Visual Reinforcement Learning for Robotic Manipulation
Abdulaziz Almuzairee
Rohan Patil
Dwait Bhatt
Henrik I. Christensen
34
0
0
07 May 2025
Towards Better Sample Efficiency in Multi-Agent Reinforcement Learning via Exploration
Towards Better Sample Efficiency in Multi-Agent Reinforcement Learning via Exploration
Amir Baghi
Jens Sjölund
Joakim Bergdahl
Linus Gisslén
Alessandro Sestini
58
0
0
17 Mar 2025
Task Aware Dreamer for Task Generalization in Reinforcement Learning
Task Aware Dreamer for Task Generalization in Reinforcement Learning
Chengyang Ying
Zhongkai Hao
Xinning Zhou
Hang Su
Songming Liu
Dong Yan
Jun Zhu
72
3
0
17 Feb 2025
Toward Task Generalization via Memory Augmentation in Meta-Reinforcement Learning
Toward Task Generalization via Memory Augmentation in Meta-Reinforcement Learning
Kaixi Bao
Chenhao Li
Yarden As
Andreas Krause
Marco Hutter
OffRL
CLL
116
1
0
03 Feb 2025
Zero-Shot Generalization of Vision-Based RL Without Data Augmentation
Zero-Shot Generalization of Vision-Based RL Without Data Augmentation
Sumeet Batra
Gaurav Sukhatme
OffRL
DRL
31
1
0
09 Oct 2024
Adaptive Task Allocation in Multi-Human Multi-Robot Teams under Team Heterogeneity and Dynamic Information Uncertainty
Adaptive Task Allocation in Multi-Human Multi-Robot Teams under Team Heterogeneity and Dynamic Information Uncertainty
Ziqin Yuan
Ruiqi Wang
Taehyeon Kim
Dezhong Zhao
Ike Obi
Byung-Cheol Min
29
2
0
20 Sep 2024
Closing the Gap between TD Learning and Supervised Learning -- A
  Generalisation Point of View
Closing the Gap between TD Learning and Supervised Learning -- A Generalisation Point of View
Raj Ghugare
Matthieu Geist
Glen Berseth
Benjamin Eysenbach
OffRL
35
14
0
20 Jan 2024
UniTSA: A Universal Reinforcement Learning Framework for V2X Traffic
  Signal Control
UniTSA: A Universal Reinforcement Learning Framework for V2X Traffic Signal Control
Maonan Wang
Xi Xiong
Yuheng Kan
Chengcheng Xu
Man-On Pun
16
9
0
08 Dec 2023
What Makes Pre-Trained Visual Representations Successful for Robust
  Manipulation?
What Makes Pre-Trained Visual Representations Successful for Robust Manipulation?
Kaylee Burns
Zach Witzel
Jubayer Ibn Hamid
Tianhe Yu
Chelsea Finn
Karol Hausman
OOD
SSL
32
22
0
03 Nov 2023
Distance-rank Aware Sequential Reward Learning for Inverse Reinforcement
  Learning with Sub-optimal Demonstrations
Distance-rank Aware Sequential Reward Learning for Inverse Reinforcement Learning with Sub-optimal Demonstrations
Lu Li
Yuxin Pan
Ruobing Chen
Jie Liu
Zilin Wang
Yu Liu
Zhiheng Li
50
0
0
13 Oct 2023
Robust Navigation with Cross-Modal Fusion and Knowledge Transfer
Robust Navigation with Cross-Modal Fusion and Knowledge Transfer
Wenzhe Cai
Guangran Cheng
Lingyue Kong
Lu Dong
Changyin Sun
29
1
0
23 Sep 2023
Improving Generalization in Visual Reinforcement Learning via
  Conflict-aware Gradient Agreement Augmentation
Improving Generalization in Visual Reinforcement Learning via Conflict-aware Gradient Agreement Augmentation
Siao Liu
Zhaoyu Chen
Yang Liu
Yuzheng Wang
Dingkang Yang
...
Ziqing Zhou
Xie Yi
Wei Li
Wenqiang Zhang
Zhongxue Gan
41
22
0
02 Aug 2023
Seeing is not Believing: Robust Reinforcement Learning against Spurious
  Correlation
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation
Wenhao Ding
Laixi Shi
Yuejie Chi
Ding Zhao
OOD
27
18
0
15 Jul 2023
Decomposing the Generalization Gap in Imitation Learning for Visual
  Robotic Manipulation
Decomposing the Generalization Gap in Imitation Learning for Visual Robotic Manipulation
Annie Xie
Lisa Lee
Ted Xiao
Chelsea Finn
25
54
0
07 Jul 2023
VIBR: Learning View-Invariant Value Functions for Robust Visual Control
VIBR: Learning View-Invariant Value Functions for Robust Visual Control
Tom Dupuis
Jaonary Rabarisoa
Q. C. Pham
David Filliat
36
0
0
14 Jun 2023
Conditional Mutual Information for Disentangled Representations in
  Reinforcement Learning
Conditional Mutual Information for Disentangled Representations in Reinforcement Learning
Mhairi Dunion
Trevor A. McInroe
K. Luck
Josiah P. Hanna
Stefano V. Albrecht
OOD
DRL
22
17
0
23 May 2023
Policy Gradient Methods in the Presence of Symmetries and State
  Abstractions
Policy Gradient Methods in the Presence of Symmetries and State Abstractions
Prakash Panangaden
S. Rezaei-Shoshtari
Rosie Zhao
D. Meger
Doina Precup
25
2
0
09 May 2023
Scalable Bayesian Meta-Learning through Generalized Implicit Gradients
Scalable Bayesian Meta-Learning through Generalized Implicit Gradients
Yilang Zhang
Bingcong Li
Shi-Ji Gao
G. Giannakis
BDL
21
9
0
31 Mar 2023
Visual-Policy Learning through Multi-Camera View to Single-Camera View
  Knowledge Distillation for Robot Manipulation Tasks
Visual-Policy Learning through Multi-Camera View to Single-Camera View Knowledge Distillation for Robot Manipulation Tasks
C. Acar
Kuluhan Binici
Alp Tekirdag
Yan Wu
37
1
0
13 Mar 2023
CRC-RL: A Novel Visual Feature Representation Architecture for
  Unsupervised Reinforcement Learning
CRC-RL: A Novel Visual Feature Representation Architecture for Unsupervised Reinforcement Learning
Darshita Jain
A. Majumder
S. Dutta
Swagat Kumar
SSL
31
1
0
31 Jan 2023
On Pre-Training for Visuo-Motor Control: Revisiting a
  Learning-from-Scratch Baseline
On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline
Nicklas Hansen
Zhecheng Yuan
Yanjie Ze
Tongzhou Mu
Aravind Rajeswaran
H. Su
Huazhe Xu
Xiaolong Wang
32
65
0
12 Dec 2022
Visual Reinforcement Learning with Self-Supervised 3D Representations
Visual Reinforcement Learning with Self-Supervised 3D Representations
Yanjie Ze
Nicklas Hansen
Yinbo Chen
Mohit Jain
Xiaolong Wang
SSL
30
49
0
13 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
38
26
0
10 Oct 2022
Hierarchical reinforcement learning for in-hand robotic manipulation
  using Davenport chained rotations
Hierarchical reinforcement learning for in-hand robotic manipulation using Davenport chained rotations
Francisco Roldan Sanchez
Qiang-qiang Wang
David Córdova Bulens
Kevin McGuinness
Stephen J. Redmond
Noel E. O'Connor
18
1
0
03 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
74
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
36
30
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
D. Meger
Doina Precup
33
18
0
15 Sep 2022
Learning to Generalize with Object-centric Agents in the Open World
  Survival Game Crafter
Learning to Generalize with Object-centric Agents in the Open World Survival Game Crafter
Aleksandar Stanić
Yujin Tang
David R Ha
Jürgen Schmidhuber
ELM
29
13
0
05 Aug 2022
Bootstrapped Transformer for Offline Reinforcement Learning
Bootstrapped Transformer for Offline Reinforcement Learning
Kerong Wang
Hanye Zhao
Xufang Luo
Kan Ren
Weinan Zhang
Dongsheng Li
OffRL
16
37
0
17 Jun 2022
Efficient Scheduling of Data Augmentation for Deep Reinforcement
  Learning
Efficient Scheduling of Data Augmentation for Deep Reinforcement Learning
Byungchan Ko
Jungseul Ok
OnRL
27
5
0
01 Jun 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
27
37
0
05 Apr 2022
Learning Generalizable Dexterous Manipulation from Human Grasp
  Affordance
Learning Generalizable Dexterous Manipulation from Human Grasp Affordance
Yueh-hua Wu
Jiashun Wang
Xiaolong Wang
23
55
0
05 Apr 2022
Temporal Difference Learning for Model Predictive Control
Temporal Difference Learning for Model Predictive Control
Nicklas Hansen
Xiaolong Wang
H. Su
PINN
MU
36
222
0
09 Mar 2022
Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for
  Visual Reinforcement Learning
Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning
Zhecheng Yuan
Guozheng Ma
Yao Mu
Bo Xia
Bo Yuan
Xueqian Wang
Ping Luo
Huazhe Xu
33
28
0
21 Feb 2022
Look Closer: Bridging Egocentric and Third-Person Views with
  Transformers for Robotic Manipulation
Look Closer: Bridging Egocentric and Third-Person Views with Transformers for Robotic Manipulation
Rishabh Jangir
Nicklas Hansen
Sambaran Ghosal
Mohit Jain
Xiaolong Wang
32
65
0
19 Jan 2022
Invariance Through Latent Alignment
Invariance Through Latent Alignment
Takuma Yoneda
Ge Yang
Matthew R. Walter
Bradly C. Stadie
OOD
21
9
0
15 Dec 2021
Equivariant $Q$ Learning in Spatial Action Spaces
Equivariant QQQ Learning in Spatial Action Spaces
Dian Wang
Robin Walters
Xu Zhu
Robert W. Platt
27
72
0
28 Oct 2021
Mastering Visual Continuous Control: Improved Data-Augmented
  Reinforcement Learning
Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning
Denis Yarats
Rob Fergus
A. Lazaric
Lerrel Pinto
OffRL
36
337
0
20 Jul 2021
Learning Vision-Guided Quadrupedal Locomotion End-to-End with
  Cross-Modal Transformers
Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers
Ruihan Yang
Minghao Zhang
Nicklas Hansen
Huazhe Xu
Xiaolong Wang
OffRL
18
102
0
08 Jul 2021
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under
  Data Augmentation
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation
Nicklas Hansen
H. Su
Xiaolong Wang
OffRL
26
134
0
01 Jul 2021
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual
  Policies
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies
Linxi Fan
Guanzhi Wang
De-An Huang
Zhiding Yu
Li Fei-Fei
Yuke Zhu
Anima Anandkumar
OffRL
15
63
0
17 Jun 2021
Domain Generalization: A Survey
Domain Generalization: A Survey
Kaiyang Zhou
Ziwei Liu
Yu Qiao
Tao Xiang
Chen Change Loy
OOD
AI4CE
75
980
0
03 Mar 2021
Decoupling Representation Learning from Reinforcement Learning
Decoupling Representation Learning from Reinforcement Learning
Adam Stooke
Kimin Lee
Pieter Abbeel
Michael Laskin
SSL
DRL
284
341
0
14 Sep 2020
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