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Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under
  Data Augmentation

Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation

1 July 2021
Nicklas Hansen
H. Su
Xiaolong Wang
    OffRL
ArXivPDFHTML

Papers citing "Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation"

31 / 81 papers shown
Title
Robust Representation Learning by Clustering with Bisimulation Metrics
  for Visual Reinforcement Learning with Distractions
Robust Representation Learning by Clustering with Bisimulation Metrics for Visual Reinforcement Learning with Distractions
Qiyuan Liu
Qi Zhou
Rui Yang
Jie Wang
OffRL
OOD
25
14
0
12 Feb 2023
A Survey on Transformers in Reinforcement Learning
A Survey on Transformers in Reinforcement Learning
Wenzhe Li
Hao Luo
Zichuan Lin
Chongjie Zhang
Zongqing Lu
Deheng Ye
OffRL
MU
AI4CE
37
56
0
08 Jan 2023
Goal-Guided Transformer-Enabled Reinforcement Learning for Efficient
  Autonomous Navigation
Goal-Guided Transformer-Enabled Reinforcement Learning for Efficient Autonomous Navigation
Wenhui Huang
Yanxin Zhou
Xiangkun He
Chengqi Lv
13
28
0
01 Jan 2023
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
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
37
65
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
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
Zhuowen Tu
OffRL
33
16
0
19 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
32
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
45
27
0
10 Oct 2022
Hierarchical Decision Transformer
Hierarchical Decision Transformer
André Rosa de Sousa Porfírio Correia
L. A. Alexandre
OffRL
98
10
0
21 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
40
30
0
16 Sep 2022
Unified State Representation Learning under Data Augmentation
Unified State Representation Learning under Data Augmentation
Taylor N. Hearn
Sravan Jayanthi
Sehoon Ha
21
0
0
12 Sep 2022
Style-Agnostic Reinforcement Learning
Style-Agnostic Reinforcement Learning
Juyong Lee
Seokjun Ahn
Jaesik Park
33
4
0
31 Aug 2022
Graph Inverse Reinforcement Learning from Diverse Videos
Graph Inverse Reinforcement Learning from Diverse Videos
Sateesh Kumar
Jonathan Zamora
Nicklas Hansen
Rishabh Jangir
Xiaolong Wang
35
53
0
28 Jul 2022
Generalizing Goal-Conditioned Reinforcement Learning with Variational
  Causal Reasoning
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning
Wenhao Ding
Haohong Lin
Bo-wen Li
Ding Zhao
LRM
28
37
0
19 Jul 2022
Temporal Disentanglement of Representations for Improved Generalisation
  in Reinforcement Learning
Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning
Mhairi Dunion
Trevor A. McInroe
K. Luck
Josiah P. Hanna
Stefano V. Albrecht
OOD
DRL
28
18
0
12 Jul 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
18
37
0
17 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
35
31
0
10 Jun 2022
Deep Transformer Q-Networks for Partially Observable Reinforcement
  Learning
Deep Transformer Q-Networks for Partially Observable Reinforcement Learning
Kevin Esslinger
Robert W. Platt
Chris Amato
OffRL
35
35
0
02 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
Evaluating Vision Transformer Methods for Deep Reinforcement Learning
  from Pixels
Evaluating Vision Transformer Methods for Deep Reinforcement Learning from Pixels
Tianxin Tao
Daniele Reda
M. van de Panne
ViT
11
19
0
11 Apr 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
66
0
19 Jan 2022
Invariance Through Latent Alignment
Invariance Through Latent Alignment
Takuma Yoneda
Ge Yang
Matthew R. Walter
Bradly C. Stadie
OOD
23
9
0
15 Dec 2021
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning
Robert Kirk
Amy Zhang
Edward Grefenstette
Tim Rocktaschel
OffRL
17
157
0
18 Nov 2021
Vision-Guided Quadrupedal Locomotion in the Wild with Multi-Modal Delay
  Randomization
Vision-Guided Quadrupedal Locomotion in the Wild with Multi-Modal Delay Randomization
C. Imai
Minghao Zhang
Yuchen Zhang
Marcin Kierebinski
Ruihan Yang
Yuzhe Qin
Xiaolong Wang
58
32
0
29 Sep 2021
Intrinsically Motivated Self-supervised Learning in Reinforcement
  Learning
Intrinsically Motivated Self-supervised Learning in Reinforcement Learning
Yue Zhao
Chenzhuang Du
Hang Zhao
Tiejun Li
SSL
21
4
0
26 Jun 2021
The Distracting Control Suite -- A Challenging Benchmark for
  Reinforcement Learning from Pixels
The Distracting Control Suite -- A Challenging Benchmark for Reinforcement Learning from Pixels
Austin Stone
Oscar Ramirez
K. Konolige
Rico Jonschkowski
137
101
0
07 Jan 2021
Improving Generalization in Reinforcement Learning with Mixture
  Regularization
Improving Generalization in Reinforcement Learning with Mixture Regularization
Kaixin Wang
Bingyi Kang
Jie Shao
Jiashi Feng
109
117
0
21 Oct 2020
Decoupling Representation Learning from Reinforcement Learning
Decoupling Representation Learning from Reinforcement Learning
Adam Stooke
Kimin Lee
Pieter Abbeel
Michael Laskin
SSL
DRL
286
341
0
14 Sep 2020
Robust and Generalizable Visual Representation Learning via Random
  Convolutions
Robust and Generalizable Visual Representation Learning via Random Convolutions
Zhenlin Xu
Deyi Liu
Junlin Yang
Colin Raffel
Marc Niethammer
OOD
AAML
53
191
0
25 Jul 2020
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