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 / 181 papers shown
Title
Video-Enhanced Offline Reinforcement Learning: A Model-Based Approach
Video-Enhanced Offline Reinforcement Learning: A Model-Based Approach
Minting Pan
Yitao Zheng
J. Li
Yunbo Wang
Xiaokang Yang
OffRL
48
0
0
10 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
SE(3)-Equivariant Robot Learning and Control: A Tutorial Survey
SE(3)-Equivariant Robot Learning and Control: A Tutorial Survey
Joohwan Seo
Soochul Yoo
Junwoo Chang
Hyunseok An
Hyunwoo Ryu
Soomi Lee
Arvind Kruthiventy
Jongeun Choi
R. Horowitz
71
2
0
12 Mar 2025
Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning
Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning
Samuel Garcin
Trevor A. McInroe
P. S. Castro
Prakash Panangaden
Christopher G. Lucas
David Abel
Stefano V. Albrecht
51
0
0
08 Mar 2025
ObjectVLA: End-to-End Open-World Object Manipulation Without Demonstration
ObjectVLA: End-to-End Open-World Object Manipulation Without Demonstration
Minjie Zhu
Y. X. Zhu
Jinming Li
Zhongyi Zhou
Junjie Wen
Xiaoyu Liu
Chaomin Shen
Yaxin Peng
Feifei Feng
LM&Ro
86
3
0
26 Feb 2025
Hyperspherical Normalization for Scalable Deep Reinforcement Learning
Hyperspherical Normalization for Scalable Deep Reinforcement Learning
Hojoon Lee
Youngdo Lee
Takuma Seno
Donghu Kim
Peter Stone
Jaegul Choo
63
1
0
24 Feb 2025
Sliding Puzzles Gym: A Scalable Benchmark for State Representation in Visual Reinforcement Learning
Sliding Puzzles Gym: A Scalable Benchmark for State Representation in Visual Reinforcement Learning
Bryan L. M. de Oliveira
Murilo L. da Luz
Bruno Brandão
Luana G. B. Martins
Telma W. de L. Soares
L. Melo
OffRL
65
1
0
17 Feb 2025
Adaptive Data Exploitation in Deep Reinforcement Learning
Adaptive Data Exploitation in Deep Reinforcement Learning
Mingqi Yuan
Bo Li
Xin Jin
Wenjun Zeng
OffRL
172
0
0
22 Jan 2025
Symmetries-enhanced Multi-Agent Reinforcement Learning
Symmetries-enhanced Multi-Agent Reinforcement Learning
N. Bousias
Stefanos Pertigkiozoglou
Kostas Daniilidis
George Pappas
AI4CE
76
0
0
02 Jan 2025
Visual-Based Forklift Learning System Enabling Zero-Shot Sim2Real Without Real-World Data
Visual-Based Forklift Learning System Enabling Zero-Shot Sim2Real Without Real-World Data
Koshi Oishi
Teruki Kato
Hiroya Makino
Seigo Ito
OffRL
102
0
0
16 Dec 2024
Grounding Video Models to Actions through Goal Conditioned Exploration
Grounding Video Models to Actions through Goal Conditioned Exploration
Yunhao Luo
Yilun Du
LM&Ro
VGen
85
1
0
11 Nov 2024
State Chrono Representation for Enhancing Generalization in
  Reinforcement Learning
State Chrono Representation for Enhancing Generalization in Reinforcement Learning
Jianda Chen
Wen Zheng Terence Ng
Zichen Chen
Sinno Jialin Pan
Tianwei Zhang
OffRL
35
0
0
09 Nov 2024
DexMimicGen: Automated Data Generation for Bimanual Dexterous Manipulation via Imitation Learning
DexMimicGen: Automated Data Generation for Bimanual Dexterous Manipulation via Imitation Learning
Zhenyu Jiang
Yuqi Xie
K. Lin
Zhenjia Xu
Weikang Wan
Ajay Mandlekar
Linxi Fan
Yuke Zhu
53
24
0
31 Oct 2024
On-Robot Reinforcement Learning with Goal-Contrastive Rewards
On-Robot Reinforcement Learning with Goal-Contrastive Rewards
Ondrej Biza
Thomas Weng
Lingfeng Sun
Karl Schmeckpeper
Tarik Kelestemur
Yecheng Jason Ma
Robert C. Platt
Jan Willem van de Meent
Lawson L. S. Wong
OffRL
43
0
0
25 Oct 2024
Prioritized Generative Replay
Prioritized Generative Replay
Renhao Wang
Kevin Frans
Pieter Abbeel
Sergey Levine
Alexei A. Efros
OnRL
DiffM
114
2
0
23 Oct 2024
Uncovering RL Integration in SSL Loss: Objective-Specific Implications for Data-Efficient RL
Uncovering RL Integration in SSL Loss: Objective-Specific Implications for Data-Efficient RL
Ömer Veysel Çağatan
Barış Akgün
OffRL
34
0
0
22 Oct 2024
Offline-to-online Reinforcement Learning for Image-based Grasping with Scarce Demonstrations
Offline-to-online Reinforcement Learning for Image-based Grasping with Scarce Demonstrations
Bryan Chan
Anson Leung
James Bergstra
OffRL
OnRL
54
0
0
19 Oct 2024
Reinforcement Learning with Euclidean Data Augmentation for State-Based
  Continuous Control
Reinforcement Learning with Euclidean Data Augmentation for State-Based Continuous Control
Jinzhu Luo
Dingyang Chen
Qi Zhang
OffRL
26
0
0
16 Oct 2024
Masked Generative Priors Improve World Models Sequence Modelling Capabilities
Masked Generative Priors Improve World Models Sequence Modelling Capabilities
Cristian Meo
Mircea Lica
Zarif Ikram
Akihiro Nakano
Vedant Shah
Aniket Didolkar
Dianbo Liu
Anirudh Goyal
Justin Dauwels
OffRL
90
0
0
10 Oct 2024
Zero-Shot Generalization of Vision-Based RL Without Data Augmentation
Zero-Shot Generalization of Vision-Based RL Without Data Augmentation
S. Batra
Gaurav Sukhatme
OffRL
DRL
26
1
0
09 Oct 2024
Open-World Reinforcement Learning over Long Short-Term Imagination
Open-World Reinforcement Learning over Long Short-Term Imagination
Jiajian Li
Q. Wang
Yunbo Wang
Xin Jin
Yang Li
Wenjun Zeng
Xiaokang Yang
OCL
VLM
54
1
0
04 Oct 2024
TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation
TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation
Junjie Wen
Y. X. Zhu
Jinming Li
Minjie Zhu
Kun Wu
...
Ran Cheng
Chaomin Shen
Yaxin Peng
Feifei Feng
Jian Tang
LM&Ro
72
41
0
19 Sep 2024
DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control
DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control
Zichen Jeff Cui
Hengkai Pan
Aadhithya Iyer
Siddhant Haldar
Lerrel Pinto
VGen
29
10
0
18 Sep 2024
Enhancing Sample Efficiency and Exploration in Reinforcement Learning through the Integration of Diffusion Models and Proximal Policy Optimization
Enhancing Sample Efficiency and Exploration in Reinforcement Learning through the Integration of Diffusion Models and Proximal Policy Optimization
Gao Tianci
Dmitriev D. Dmitry
Konstantin A. Neusypin
Yang Bo
Rao Shengren
OffRL
31
1
0
02 Sep 2024
DEAR: Disentangled Environment and Agent Representations for
  Reinforcement Learning without Reconstruction
DEAR: Disentangled Environment and Agent Representations for Reinforcement Learning without Reconstruction
Ameya Pore
Riccardo Muradore
Diego DallÁlba
DRL
29
1
0
30 Jun 2024
ATraDiff: Accelerating Online Reinforcement Learning with Imaginary
  Trajectories
ATraDiff: Accelerating Online Reinforcement Learning with Imaginary Trajectories
Qianlan Yang
Yu-Xiong Wang
OnRL
39
1
0
06 Jun 2024
Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets
Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets
Haoran He
C. Chang
Huazhe Xu
Ling Pan
89
6
0
03 Jun 2024
Intrinsic Dynamics-Driven Generalizable Scene Representations for
  Vision-Oriented Decision-Making Applications
Intrinsic Dynamics-Driven Generalizable Scene Representations for Vision-Oriented Decision-Making Applications
Dayang Liang
Jinyang Lai
Yunlong Liu
31
0
0
30 May 2024
GTA: Generative Trajectory Augmentation with Guidance for Offline
  Reinforcement Learning
GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning
Jaewoo Lee
Sujin Yun
Taeyoung Yun
Jinkyoo Park
43
6
0
27 May 2024
Cross-Domain Policy Adaptation by Capturing Representation Mismatch
Cross-Domain Policy Adaptation by Capturing Representation Mismatch
Jiafei Lyu
Chenjia Bai
Jingwen Yang
Zongqing Lu
Xiu Li
30
8
0
24 May 2024
Learning Future Representation with Synthetic Observations for
  Sample-efficient Reinforcement Learning
Learning Future Representation with Synthetic Observations for Sample-efficient Reinforcement Learning
Xin Liu
Yaran Chen
Dong Zhao
40
1
0
20 May 2024
Feasibility Consistent Representation Learning for Safe Reinforcement
  Learning
Feasibility Consistent Representation Learning for Safe Reinforcement Learning
Zhepeng Cen
Yi-Fan Yao
Zuxin Liu
Ding Zhao
OffRL
37
3
0
20 May 2024
Rank2Reward: Learning Shaped Reward Functions from Passive Video
Rank2Reward: Learning Shaped Reward Functions from Passive Video
Daniel Yang
Davin Tjia
Jacob Berg
Dima Damen
Pulkit Agrawal
Abhishek Gupta
OffRL
32
5
0
23 Apr 2024
AdaDemo: Data-Efficient Demonstration Expansion for Generalist Robotic
  Agent
AdaDemo: Data-Efficient Demonstration Expansion for Generalist Robotic Agent
Tongzhou Mu
Yijie Guo
Jie Xu
Ankit Goyal
Hao Su
Dieter Fox
Animesh Garg
LM&Ro
39
0
0
11 Apr 2024
SculptDiff: Learning Robotic Clay Sculpting from Humans with Goal
  Conditioned Diffusion Policy
SculptDiff: Learning Robotic Clay Sculpting from Humans with Goal Conditioned Diffusion Policy
Alison Bartsch
Arvind Car
Charlotte Avra
A. Farimani
38
5
0
15 Mar 2024
Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter
  Lesson of Reinforcement Learning
Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning
Michal Nauman
Michal Bortkiewicz
Piotr Milo's
Tomasz Trzciñski
M. Ostaszewski
Marek Cygan
OffRL
22
17
0
01 Mar 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
27
14
0
20 Jan 2024
Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning
Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning
Xin Yu
Rongye Shi
Pu Feng
Yongkai Tian
Simin Li
Shuhao Liao
Wenjun Wu
32
9
0
30 Dec 2023
An Invitation to Deep Reinforcement Learning
An Invitation to Deep Reinforcement Learning
Bernhard Jaeger
Andreas Geiger
OffRL
OOD
78
5
0
13 Dec 2023
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
14
9
0
08 Dec 2023
Industrial Internet of Things Intelligence Empowering Smart
  Manufacturing: A Literature Review
Industrial Internet of Things Intelligence Empowering Smart Manufacturing: A Literature Review
Member Ieee Yujiao Hu
Qingmin Jia
Yuao Yao
Yong Lee
Mengjie Lee
Chenyi Wang
Xiaomao Zhou
Senior Member Ieee Renchao Xie
F. I. F. Richard Yu
23
29
0
02 Dec 2023
Provable Representation with Efficient Planning for Partial Observable
  Reinforcement Learning
Provable Representation with Efficient Planning for Partial Observable Reinforcement Learning
Hongming Zhang
Tongzheng Ren
Chenjun Xiao
Dale Schuurmans
Bo Dai
45
3
0
20 Nov 2023
Generalizable Imitation Learning Through Pre-Trained Representations
Generalizable Imitation Learning Through Pre-Trained Representations
Wei-Di Chang
F. Hogan
D. Meger
Gregory Dudek
Gregory Dudek
35
1
0
15 Nov 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
27
22
0
03 Nov 2023
On the Theory of Risk-Aware Agents: Bridging Actor-Critic and Economics
On the Theory of Risk-Aware Agents: Bridging Actor-Critic and Economics
Michal Nauman
Marek Cygan
32
1
0
30 Oct 2023
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction
Seohong Park
Oleh Rybkin
Sergey Levine
OffRL
33
34
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
26
1
0
23 Sep 2023
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
19
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
26
4
0
29 Aug 2023
1234
Next