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Improving Sample Efficiency in Model-Free Reinforcement Learning from
  Images

Improving Sample Efficiency in Model-Free Reinforcement Learning from Images

2 October 2019
Denis Yarats
Amy Zhang
Ilya Kostrikov
Brandon Amos
Joelle Pineau
Rob Fergus
    DRL
ArXivPDFHTML

Papers citing "Improving Sample Efficiency in Model-Free Reinforcement Learning from Images"

5 / 255 papers shown
Title
CURL: Contrastive Unsupervised Representations for Reinforcement
  Learning
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
A. Srinivas
Michael Laskin
Pieter Abbeel
SSL
DRL
OffRL
49
1,063
0
08 Apr 2020
Weakly-Supervised Reinforcement Learning for Controllable Behavior
Weakly-Supervised Reinforcement Learning for Controllable Behavior
Lisa Lee
Benjamin Eysenbach
Ruslan Salakhutdinov
S. Gu
Chelsea Finn
SSL
22
26
0
06 Apr 2020
Contextual Policy Transfer in Reinforcement Learning Domains via Deep
  Mixtures-of-Experts
Contextual Policy Transfer in Reinforcement Learning Domains via Deep Mixtures-of-Experts
Michael Gimelfarb
Scott Sanner
Chi-Guhn Lee
15
1
0
29 Feb 2020
Learning Generalizable Locomotion Skills with Hierarchical Reinforcement
  Learning
Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning
Tianyu Li
Nathan Lambert
Roberto Calandra
Franziska Meier
Akshara Rai
21
40
0
26 Sep 2019
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train
  10,000-Layer Vanilla Convolutional Neural Networks
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks
Lechao Xiao
Yasaman Bahri
Jascha Narain Sohl-Dickstein
S. Schoenholz
Jeffrey Pennington
244
350
0
14 Jun 2018
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