ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2004.13649
  4. Cited By
Image Augmentation Is All You Need: Regularizing Deep Reinforcement
  Learning from Pixels

Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels

28 April 2020
Ilya Kostrikov
Denis Yarats
Rob Fergus
    OffRL
ArXivPDFHTML

Papers citing "Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels"

50 / 205 papers shown
Title
REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous
  Manipulation
REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation
Zheyuan Hu
Aaron Rovinsky
Jianlan Luo
Vikash Kumar
Abhishek Gupta
Sergey Levine
OffRL
22
9
0
06 Sep 2023
Adversarial Style Transfer for Robust Policy Optimization in Deep
  Reinforcement Learning
Adversarial Style Transfer for Robust Policy Optimization in Deep Reinforcement Learning
Md Masudur Rahman
Yexiang Xue
29
4
0
29 Aug 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
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic
  Control
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
Anthony Brohan
Noah Brown
Justice Carbajal
Yevgen Chebotar
Xi Chen
...
Ted Xiao
Peng Xu
Sichun Xu
Tianhe Yu
Brianna Zitkovich
LM&Ro
LRM
30
1,110
0
28 Jul 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
55
0
07 Jul 2023
Policy Contrastive Imitation Learning
Policy Contrastive Imitation Learning
Jialei Huang
Zhao-Heng Yin
Yingdong Hu
Yang Gao
32
3
0
06 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
39
0
0
14 Jun 2023
On the Efficacy of 3D Point Cloud Reinforcement Learning
On the Efficacy of 3D Point Cloud Reinforcement Learning
Z. Ling
Yuan Yao
Xuanlin Li
H. Su
3DPC
34
13
0
11 Jun 2023
Symmetric Replay Training: Enhancing Sample Efficiency in Deep
  Reinforcement Learning for Combinatorial Optimization
Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization
Hyeon-Seob Kim
Minsu Kim
Sungsoo Ahn
Jinkyoo Park
OffRL
39
7
0
02 Jun 2023
Bigger, Better, Faster: Human-level Atari with human-level efficiency
Bigger, Better, Faster: Human-level Atari with human-level efficiency
Max Schwarzer
J. Obando-Ceron
Rameswar Panda
Marc G. Bellemare
Rishabh Agarwal
Pablo Samuel Castro
OffRL
54
83
0
30 May 2023
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control
  via Sample Multiple Reuse
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse
Jiafei Lyu
Le Wan
Zongqing Lu
Xiu Li
OffRL
34
9
0
29 May 2023
Learning Better with Less: Effective Augmentation for Sample-Efficient
  Visual Reinforcement Learning
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
42
10
0
25 May 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
27
2
0
09 May 2023
TorchBench: Benchmarking PyTorch with High API Surface Coverage
TorchBench: Benchmarking PyTorch with High API Surface Coverage
Yueming Hao
Xu Zhao
Bin Bao
David Berard
William Constable
Adnan Aziz
Xu Liu
32
5
0
27 Apr 2023
Efficient Deep Reinforcement Learning Requires Regulating Overfitting
Efficient Deep Reinforcement Learning Requires Regulating Overfitting
Qiyang Li
Aviral Kumar
Ilya Kostrikov
Sergey Levine
OffRL
26
31
0
20 Apr 2023
Lossless Adaptation of Pretrained Vision Models For Robotic Manipulation
Lossless Adaptation of Pretrained Vision Models For Robotic Manipulation
Mohit Sharma
Claudio Fantacci
Yuxiang Zhou
Skanda Koppula
N. Heess
Jonathan Scholz
Y. Aytar
VLM
50
29
0
13 Apr 2023
Reinforcement Learning from Passive Data via Latent Intentions
Reinforcement Learning from Passive Data via Latent Intentions
Dibya Ghosh
Chethan Bhateja
Sergey Levine
OffRL
26
43
0
10 Apr 2023
Learning Robot Manipulation from Cross-Morphology Demonstration
Learning Robot Manipulation from Cross-Morphology Demonstration
G. Salhotra
Isabella Liu
Gaurav Sukhatme
LM&Ro
25
9
0
07 Apr 2023
Model-Based Reinforcement Learning with Isolated Imaginations
Model-Based Reinforcement Learning with Isolated Imaginations
Minting Pan
Xiangming Zhu
Yitao Zheng
Yunbo Wang
Xiaokang Yang
26
0
0
27 Mar 2023
SACPlanner: Real-World Collision Avoidance with a Soft Actor Critic
  Local Planner and Polar State Representations
SACPlanner: Real-World Collision Avoidance with a Soft Actor Critic Local Planner and Polar State Representations
Khaled Nakhleh
Minahil Raza
Mack Tang
M. Andrews
Rinu Boney
I. Hadžić
Jeongran Lee
Atefeh Mohajeri
Karina Palyutina
20
4
0
21 Mar 2023
Learning Foresightful Dense Visual Affordance for Deformable Object
  Manipulation
Learning Foresightful Dense Visual Affordance for Deformable Object Manipulation
Ruihai Wu
Chuanruo Ning
Hao Dong
AI4CE
16
28
0
20 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
The Dormant Neuron Phenomenon in Deep Reinforcement Learning
The Dormant Neuron Phenomenon in Deep Reinforcement Learning
Ghada Sokar
Rishabh Agarwal
Pablo Samuel Castro
Utku Evci
CLL
51
89
0
24 Feb 2023
Language-Driven Representation Learning for Robotics
Language-Driven Representation Learning for Robotics
Siddharth Karamcheti
Suraj Nair
Annie S. Chen
Thomas Kollar
Chelsea Finn
Dorsa Sadigh
Percy Liang
LM&Ro
SSL
47
145
0
24 Feb 2023
Demonstration-Guided Reinforcement Learning with Efficient Exploration
  for Task Automation of Surgical Robot
Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot
Tao Huang
Kai-xiang Chen
Bin Li
Yunhui Liu
Qingxu Dou
35
23
0
20 Feb 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
66
10
0
11 Feb 2023
Efficient Online Reinforcement Learning with Offline Data
Efficient Online Reinforcement Learning with Offline Data
Philip J. Ball
Laura M. Smith
Ilya Kostrikov
Sergey Levine
OffRL
OnRL
34
163
0
06 Feb 2023
Visual Imitation Learning with Patch Rewards
Visual Imitation Learning with Patch Rewards
Minghuan Liu
Tairan He
Weinan Zhang
Shuicheng Yan
Zhongwen Xu
SSL
22
13
0
02 Feb 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
34
1
0
31 Jan 2023
Dexterous Manipulation from Images: Autonomous Real-World RL via Substep
  Guidance
Dexterous Manipulation from Images: Autonomous Real-World RL via Substep Guidance
Kelvin Xu
Zheyuan Hu
Ria Doshi
Aaron Rovinsky
Vikash Kumar
Abhishek Gupta
Sergey Levine
32
19
0
19 Dec 2022
Unsupervised Time-Aware Sampling Network with Deep Reinforcement
  Learning for EEG-Based Emotion Recognition
Unsupervised Time-Aware Sampling Network with Deep Reinforcement Learning for EEG-Based Emotion Recognition
Yongtao Zhang
Yue Pan
Yulin Zhang
Linling Li
Li Zhang
G. Huang
Zhen Liang
Zhiguo Zhang
38
11
0
14 Dec 2022
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
CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation
  Learning
CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation Learning
Zhao Mandi
Homanga Bharadhwaj
Vincent Moens
Shuran Song
Aravind Rajeswaran
Vikash Kumar
LM&Ro
28
70
0
12 Dec 2022
MoDem: Accelerating Visual Model-Based Reinforcement Learning with
  Demonstrations
MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations
Nicklas Hansen
Yixin Lin
H. Su
Xiaolong Wang
Vikash Kumar
Aravind Rajeswaran
OffRL
32
49
0
12 Dec 2022
Tackling Visual Control via Multi-View Exploration Maximization
Tackling Visual Control via Multi-View Exploration Maximization
Mingqi Yuan
Xin Jin
Bo Li
Wenjun Zeng
30
1
0
28 Nov 2022
Actively Learning Costly Reward Functions for Reinforcement Learning
Actively Learning Costly Reward Functions for Reinforcement Learning
André Eberhard
Houssam Metni
G. Fahland
A. Stroh
Pascal Friederich
OffRL
35
0
0
23 Nov 2022
An interpretable imbalanced semi-supervised deep learning framework for
  improving differential diagnosis of skin diseases
An interpretable imbalanced semi-supervised deep learning framework for improving differential diagnosis of skin diseases
Futian Weng
Yuanting Ma
J. Sun
Shijun Shan
Qiyuan Li
Jianping Zhu
Yang Wang
Yan Xu
37
0
0
20 Nov 2022
Disentangled (Un)Controllable Features
Disentangled (Un)Controllable Features
Jacob E. Kooi
Mark Hoogendoorn
Vincent François-Lavet
DRL
27
0
0
31 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 Feasibility of Cross-Task Transfer with Model-Based Reinforcement
  Learning
On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning
Yifan Xu
Nicklas Hansen
Zirui Wang
Yung-Chieh Chan
H. Su
Z. Tu
OffRL
31
15
0
19 Oct 2022
Planning for Sample Efficient Imitation Learning
Planning for Sample Efficient Imitation Learning
Zhao-Heng Yin
Weirui Ye
Qifeng Chen
Yang Gao
OffRL
31
21
0
18 Oct 2022
Frame Mining: a Free Lunch for Learning Robotic Manipulation from 3D
  Point Clouds
Frame Mining: a Free Lunch for Learning Robotic Manipulation from 3D Point Clouds
Minghua Liu
Xuanlin Li
Z. Ling
Yangyan Li
Hao Su
36
31
0
14 Oct 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
Hyperbolic Deep Reinforcement Learning
Hyperbolic Deep Reinforcement Learning
Edoardo Cetin
B. Chamberlain
Michael M. Bronstein
Jonathan J. Hunt
43
21
0
04 Oct 2022
S2P: State-conditioned Image Synthesis for Data Augmentation in Offline
  Reinforcement Learning
S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning
Daesol Cho
D. Shim
H. J. Kim
OffRL
42
11
0
30 Sep 2022
Pretraining the Vision Transformer using self-supervised methods for
  vision based Deep Reinforcement Learning
Pretraining the Vision Transformer using self-supervised methods for vision based Deep Reinforcement Learning
Manuel Goulão
Arlindo L. Oliveira
ViT
41
6
0
22 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
Previous
12345
Next