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Data-Efficient Reinforcement Learning with Self-Predictive
  Representations

Data-Efficient Reinforcement Learning with Self-Predictive Representations

12 July 2020
Max Schwarzer
Ankesh Anand
Rishab Goel
R. Devon Hjelm
Aaron Courville
Philip Bachman
ArXivPDFHTML

Papers citing "Data-Efficient Reinforcement Learning with Self-Predictive Representations"

26 / 76 papers shown
Title
Consensus Learning for Cooperative Multi-Agent Reinforcement Learning
Consensus Learning for Cooperative Multi-Agent Reinforcement Learning
Zhiwei Xu
Bin Zhang
Dapeng Li
Zeren Zhang
Guangchong Zhou
Hao Chen
Guoliang Fan
16
14
0
06 Jun 2022
Nuclear Norm Maximization Based Curiosity-Driven Learning
Nuclear Norm Maximization Based Curiosity-Driven Learning
Chao Chen
Zijian Gao
Kele Xu
Sen Yang
Yiying Li
Bo Ding
Dawei Feng
Huaimin Wang
123
5
0
21 May 2022
Image Augmentation Based Momentum Memory Intrinsic Reward for Sparse
  Reward Visual Scenes
Image Augmentation Based Momentum Memory Intrinsic Reward for Sparse Reward Visual Scenes
Zheng Fang
Biao Zhao
Guizhong Liu
16
2
0
19 May 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
CCLF: A Contrastive-Curiosity-Driven Learning Framework for
  Sample-Efficient Reinforcement Learning
CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning
Chenyu Sun
Hangwei Qian
C. Miao
OffRL
24
12
0
02 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
Learning Generalizable Dexterous Manipulation from Human Grasp
  Affordance
Learning Generalizable Dexterous Manipulation from Human Grasp Affordance
Yueh-hua Wu
Jiashun Wang
Xiaolong Wang
21
55
0
05 Apr 2022
Reinforcement Learning with Action-Free Pre-Training from Videos
Reinforcement Learning with Action-Free Pre-Training from Videos
Younggyo Seo
Kimin Lee
Stephen James
Pieter Abbeel
SSL
OnRL
16
116
0
25 Mar 2022
Efficient Reinforcement Learning in Block MDPs: A Model-free
  Representation Learning Approach
Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning Approach
Xuezhou Zhang
Yuda Song
Masatoshi Uehara
Mengdi Wang
Alekh Agarwal
Wen Sun
OffRL
24
57
0
31 Jan 2022
Accelerating Representation Learning with View-Consistent Dynamics in
  Data-Efficient Reinforcement Learning
Accelerating Representation Learning with View-Consistent Dynamics in Data-Efficient Reinforcement Learning
Tao Huang
Jiacheng Wang
Xiao Chen
27
4
0
18 Jan 2022
Divergent representations of ethological visual inputs emerge from
  supervised, unsupervised, and reinforcement learning
Divergent representations of ethological visual inputs emerge from supervised, unsupervised, and reinforcement learning
Grace W. Lindsay
J. Merel
T. Mrsic-Flogel
M. Sahani
SSL
DRL
20
5
0
03 Dec 2021
Learning State Representations via Retracing in Reinforcement Learning
Learning State Representations via Retracing in Reinforcement Learning
Changmin Yu
Dong Li
Jianye Hao
Jun Wang
Neil Burgess
16
7
0
24 Nov 2021
B-Pref: Benchmarking Preference-Based Reinforcement Learning
B-Pref: Benchmarking Preference-Based Reinforcement Learning
Kimin Lee
Laura M. Smith
Anca Dragan
Pieter Abbeel
OffRL
27
92
0
04 Nov 2021
Mastering Atari Games with Limited Data
Mastering Atari Games with Limited Data
Weirui Ye
Shao-Wei Liu
Thanard Kurutach
Pieter Abbeel
Yang Gao
VLM
40
222
0
30 Oct 2021
Hyper-Representations: Self-Supervised Representation Learning on Neural
  Network Weights for Model Characteristic Prediction
Hyper-Representations: Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction
Konstantin Schurholt
Dimche Kostadinov
Damian Borth
SSL
19
14
0
28 Oct 2021
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with
  Prototypical Representations
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations
Fei Deng
Ingook Jang
Sungjin Ahn
VLM
24
62
0
27 Oct 2021
APS: Active Pretraining with Successor Features
APS: Active Pretraining with Successor Features
Hao Liu
Pieter Abbeel
31
118
0
31 Aug 2021
A review of mobile robot motion planning methods: from classical motion
  planning workflows to reinforcement learning-based architectures
A review of mobile robot motion planning methods: from classical motion planning workflows to reinforcement learning-based architectures
Jiawei Wang
Zicheng He
Chunwei Song
Changyin Sun
30
54
0
31 Aug 2021
Deep Reinforcement Learning at the Edge of the Statistical Precipice
Deep Reinforcement Learning at the Edge of the Statistical Precipice
Rishabh Agarwal
Max Schwarzer
P. S. Castro
Aaron Courville
Marc G. Bellemare
OffRL
36
630
0
30 Aug 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
13
100
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
15
133
0
01 Jul 2021
Which Mutual-Information Representation Learning Objectives are
  Sufficient for Control?
Which Mutual-Information Representation Learning Objectives are Sufficient for Control?
Kate Rakelly
Abhishek Gupta
Carlos Florensa
Sergey Levine
SSL
18
38
0
14 Jun 2021
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for
  Reinforcement Learning
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning
Tao Yu
Cuiling Lan
Wenjun Zeng
Mingxiao Feng
Zhizheng Zhang
Zhibo Chen
OffRL
20
46
0
08 Jun 2021
Behavior From the Void: Unsupervised Active Pre-Training
Behavior From the Void: Unsupervised Active Pre-Training
Hao Liu
Pieter Abbeel
VLM
SSL
34
195
0
08 Mar 2021
Masked Contrastive Representation Learning for Reinforcement Learning
Masked Contrastive Representation Learning for Reinforcement Learning
Jinhua Zhu
Yingce Xia
Lijun Wu
Jiajun Deng
Wen-gang Zhou
Tao Qin
Houqiang Li
SSL
OffRL
28
55
0
15 Oct 2020
An Introduction to Deep Reinforcement Learning
An Introduction to Deep Reinforcement Learning
Vincent François-Lavet
Peter Henderson
Riashat Islam
Marc G. Bellemare
Joelle Pineau
OffRL
AI4CE
80
1,231
0
30 Nov 2018
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