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VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning

VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning

17 February 2022
Che Wang
Xufang Luo
Keith Ross
Dongsheng Li
    OffRL
ArXivPDFHTML

Papers citing "VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning"

19 / 19 papers shown
Title
H$^{\mathbf{3}}$DP: Triply-Hierarchical Diffusion Policy for Visuomotor Learning
H3^{\mathbf{3}}3DP: Triply-Hierarchical Diffusion Policy for Visuomotor Learning
Yiyang Lu
Yufeng Tian
Zhecheng Yuan
X. Wang
Pu Hua
Zhengrong Xue
Huazhe Xu
23
0
0
12 May 2025
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
52
0
0
19 Oct 2024
ManiCM: Real-time 3D Diffusion Policy via Consistency Model for Robotic Manipulation
ManiCM: Real-time 3D Diffusion Policy via Consistency Model for Robotic Manipulation
Guanxing Lu
Zifeng Gao
Tianxing Chen
Wen-Dao Dai
Ziwei Wang
Yansong Tang
Yansong Tang
DiffM
68
14
0
03 Jun 2024
CLIP-Motion: Learning Reward Functions for Robotic Actions Using Consecutive Observations
CLIP-Motion: Learning Reward Functions for Robotic Actions Using Consecutive Observations
Xuzhe Dang
Stefan Edelkamp
35
4
0
06 Nov 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
38
9
0
25 May 2023
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
18
15
0
19 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
25
26
0
10 Oct 2022
Watch and Match: Supercharging Imitation with Regularized Optimal
  Transport
Watch and Match: Supercharging Imitation with Regularized Optimal Transport
Siddhant Haldar
Vaibhav Mathur
Denis Yarats
Lerrel Pinto
46
62
0
30 Jun 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
77
145
0
28 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
17
31
0
10 Jun 2022
The Primacy Bias in Deep Reinforcement Learning
The Primacy Bias in Deep Reinforcement Learning
Evgenii Nikishin
Max Schwarzer
P. DÓro
Pierre-Luc Bacon
Aaron C. Courville
OnRL
88
178
0
16 May 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
11
37
0
05 Apr 2022
Robotic Telekinesis: Learning a Robotic Hand Imitator by Watching Humans
  on Youtube
Robotic Telekinesis: Learning a Robotic Hand Imitator by Watching Humans on Youtube
Aravind Sivakumar
Kenneth Shaw
Deepak Pathak
114
101
0
21 Feb 2022
Can Wikipedia Help Offline Reinforcement Learning?
Can Wikipedia Help Offline Reinforcement Learning?
Machel Reid
Yutaro Yamada
S. Gu
3DV
RALM
OffRL
127
95
0
28 Jan 2022
Offline Reinforcement Learning with Implicit Q-Learning
Offline Reinforcement Learning with Implicit Q-Learning
Ilya Kostrikov
Ashvin Nair
Sergey Levine
OffRL
212
837
0
12 Oct 2021
Decoupling Representation Learning from Reinforcement Learning
Decoupling Representation Learning from Reinforcement Learning
Adam Stooke
Kimin Lee
Pieter Abbeel
Michael Laskin
SSL
DRL
280
339
0
14 Sep 2020
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline
  and Online RL
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL
Seyed Kamyar Seyed Ghasemipour
Dale Schuurmans
S. Gu
OffRL
209
119
0
21 Jul 2020
Controlling Overestimation Bias with Truncated Mixture of Continuous
  Distributional Quantile Critics
Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics
Arsenii Kuznetsov
Pavel Shvechikov
Alexander Grishin
Dmitry Vetrov
136
185
0
08 May 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
329
1,949
0
04 May 2020
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