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Diversity is All You Need: Learning Skills without a Reward Function
v1v2v3v4v5v6 (latest)

Diversity is All You Need: Learning Skills without a Reward Function

16 February 2018
Benjamin Eysenbach
Abhishek Gupta
Julian Ibarz
Sergey Levine
ArXiv (abs)PDFHTML

Papers citing "Diversity is All You Need: Learning Skills without a Reward Function"

14 / 414 papers shown
Title
Episodic Curiosity through Reachability
Episodic Curiosity through Reachability
Nikolay Savinov
Anton Raichuk
Raphaël Marinier
Damien Vincent
Marc Pollefeys
Timothy Lillicrap
Sylvain Gelly
112
271
0
04 Oct 2018
Scaling simulation-to-real transfer by learning composable robot skills
Scaling simulation-to-real transfer by learning composable robot skills
Ryan Julian
Eric Heiden
Zhanpeng He
Hejia Zhang
S. Schaal
Joseph J. Lim
Gaurav Sukhatme
Karol Hausman
54
15
0
26 Sep 2018
InfoSSM: Interpretable Unsupervised Learning of Nonparametric
  State-Space Model for Multi-modal Dynamics
InfoSSM: Interpretable Unsupervised Learning of Nonparametric State-Space Model for Multi-modal Dynamics
Young-Jin Park
Han-Lim Choi
31
0
0
19 Sep 2018
Large-Scale Study of Curiosity-Driven Learning
Large-Scale Study of Curiosity-Driven Learning
Yuri Burda
Harrison Edwards
Deepak Pathak
Amos Storkey
Trevor Darrell
Alexei A. Efros
LRM
93
707
0
13 Aug 2018
Learning to Share and Hide Intentions using Information Regularization
Learning to Share and Hide Intentions using Information Regularization
D. Strouse
Max Kleiman-Weiner
J. Tenenbaum
M. Botvinick
D. Schwab
76
60
0
06 Aug 2018
Variational Option Discovery Algorithms
Variational Option Discovery Algorithms
Joshua Achiam
Harrison Edwards
Dario Amodei
Pieter Abbeel
DRL
78
180
0
26 Jul 2018
ToriLLE: Learning Environment for Hand-to-Hand Combat
ToriLLE: Learning Environment for Hand-to-Hand Combat
Anssi Kanervisto
Ville Hautamaki
62
2
0
26 Jul 2018
Visual Reinforcement Learning with Imagined Goals
Visual Reinforcement Learning with Imagined Goals
Ashvin Nair
Vitchyr H. Pong
Murtaza Dalal
Shikhar Bahl
Steven Lin
Sergey Levine
SSL
112
544
0
12 Jul 2018
Unsupervised Meta-Learning for Reinforcement Learning
Unsupervised Meta-Learning for Reinforcement Learning
Abhishek Gupta
Benjamin Eysenbach
Chelsea Finn
Sergey Levine
SSLOffRL
138
107
0
12 Jun 2018
Learning Self-Imitating Diverse Policies
Learning Self-Imitating Diverse Policies
Tanmay Gangwani
Qiang Liu
Jian Peng
99
68
0
25 May 2018
Evolution-Guided Policy Gradient in Reinforcement Learning
Evolution-Guided Policy Gradient in Reinforcement Learning
Shauharda Khadka
Kagan Tumer
132
232
0
21 May 2018
Do deep reinforcement learning agents model intentions?
Do deep reinforcement learning agents model intentions?
Tambet Matiisen
Aqeel Labash
Daniel Majoral
Jaan Aru
Raul Vicente
AI4CE
26
5
0
15 May 2018
Latent Space Policies for Hierarchical Reinforcement Learning
Latent Space Policies for Hierarchical Reinforcement Learning
Tuomas Haarnoja
Kristian Hartikainen
Pieter Abbeel
Sergey Levine
BDL
83
193
0
09 Apr 2018
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent
  Reinforcement Learning
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
Tabish Rashid
Mikayel Samvelyan
Christian Schroeder de Witt
Gregory Farquhar
Jakob N. Foerster
Shimon Whiteson
177
1,681
0
30 Mar 2018
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