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Reverse Curriculum Generation for Reinforcement Learning
v1v2v3 (latest)

Reverse Curriculum Generation for Reinforcement Learning

17 July 2017
Carlos Florensa
David Held
Markus Wulfmeier
Michael Zhang
Pieter Abbeel
ArXiv (abs)PDFHTML

Papers citing "Reverse Curriculum Generation for Reinforcement Learning"

24 / 274 papers shown
Region Growing Curriculum Generation for Reinforcement Learning
Region Growing Curriculum Generation for Reinforcement Learning
Artem Molchanov
Karol Hausman
Stan Birchfield
Gaurav Sukhatme
118
2
0
04 Jul 2018
Illuminating Generalization in Deep Reinforcement Learning through
  Procedural Level Generation
Illuminating Generalization in Deep Reinforcement Learning through Procedural Level Generation
Niels Justesen
R. Torrado
Philip Bontrager
Ahmed Khalifa
Julian Togelius
S. Risi
512
197
0
28 Jun 2018
Accuracy-based Curriculum Learning in Deep Reinforcement Learning
Accuracy-based Curriculum Learning in Deep Reinforcement Learning
Pierre Fournier
Olivier Sigaud
Mohamed Chetouani
Pierre-Yves Oudeyer
ODL
268
41
0
25 Jun 2018
Multi-objective Model-based Policy Search for Data-efficient Learning
  with Sparse Rewards
Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards
Rituraj Kaushik
Konstantinos Chatzilygeroudis
Jean-Baptiste Mouret
135
21
0
25 Jun 2018
BaRC: Backward Reachability Curriculum for Robotic Reinforcement
  Learning
BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning
Boris Ivanovic
James Harrison
Apoorva Sharma
Mo Chen
Marco Pavone
OffRL
226
61
0
16 Jun 2018
Configurable Markov Decision Processes
Configurable Markov Decision Processes
Alberto Maria Metelli
Mirco Mutti
Marcello Restelli
132
38
0
14 Jun 2018
Memory Augmented Self-Play
Memory Augmented Self-Play
Shagun Sodhani
Vardaan Pahuja
SSL
104
1
0
28 May 2018
Forward-Backward Reinforcement Learning
Forward-Backward Reinforcement Learning
Ashley D. Edwards
Laura Downs
James C. Davidson
155
42
0
27 Mar 2018
Comparing Task Simplifications to Learn Closed-Loop Object Picking Using
  Deep Reinforcement Learning
Comparing Task Simplifications to Learn Closed-Loop Object Picking Using Deep Reinforcement LearningIEEE Robotics and Automation Letters (RA-L), 2018
Michel Breyer
Fadri Furrer
Tonci Novkovic
Roland Siegwart
Juan I. Nieto
SSLOffRL
187
51
0
13 Mar 2018
A Classification-based Approach for Approximate Reachability
A Classification-based Approach for Approximate Reachability
Vicencc Rubies-Royo
David Fridovich-Keil
Sylvia Herbert
Claire Tomlin
195
39
0
08 Mar 2018
Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal
  Exploration
Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal ExplorationInternational Conference on Learning Representations (ICLR), 2018
Alexandre Péré
Sébastien Forestier
Olivier Sigaud
Pierre-Yves Oudeyer
SSLDRL
212
99
0
02 Mar 2018
Computational Theories of Curiosity-Driven Learning
Computational Theories of Curiosity-Driven Learning
Pierre-Yves Oudeyer
199
71
0
28 Feb 2018
Multi-Goal Reinforcement Learning: Challenging Robotics Environments and
  Request for Research
Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research
Matthias Plappert
Marcin Andrychowicz
Alex Ray
Bob McGrew
Bowen Baker
...
Joshua Tobin
Maciek Chociej
Peter Welinder
Vikash Kumar
Wojciech Zaremba
299
618
0
26 Feb 2018
Unicorn: Continual Learning with a Universal, Off-policy Agent
Unicorn: Continual Learning with a Universal, Off-policy Agent
D. Mankowitz
Augustin Žídek
André Barreto
Dan Horgan
Matteo Hessel
John Quan
Junhyuk Oh
H. V. Hasselt
David Silver
Tom Schaul
CLLOffRL
205
48
0
22 Feb 2018
Learning Symmetric and Low-energy Locomotion
Learning Symmetric and Low-energy Locomotion
Wenhao Yu
Greg Turk
Chenxi Liu
362
207
0
24 Jan 2018
Time Limits in Reinforcement Learning
Time Limits in Reinforcement Learning
Fabio Pardo
Arash Tavakoli
Vitaly Levdik
Petar Kormushev
CLL
290
175
0
01 Dec 2017
Cascade Attribute Learning Network
Cascade Attribute Learning Network
Zhuo Xu
Haonan Chang
Masayoshi Tomizuka
91
4
0
24 Nov 2017
Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement
  Learning
Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning
Benjamin Eysenbach
S. Gu
Julian Ibarz
Sergey Levine
CLL
130
147
0
18 Nov 2017
Hindsight policy gradients
Hindsight policy gradients
Paulo E. Rauber
Avinash Ummadisingu
Filipe Wall Mutz
J. Schmidhuber
298
74
0
16 Nov 2017
Overcoming Exploration in Reinforcement Learning with Demonstrations
Overcoming Exploration in Reinforcement Learning with Demonstrations
Ashvin Nair
Bob McGrew
Marcin Andrychowicz
Wojciech Zaremba
Pieter Abbeel
OffRL
538
855
0
28 Sep 2017
Expanding Motor Skills through Relay Neural Networks
Expanding Motor Skills through Relay Neural Networks
Visak C. V. Kumar
Sehoon Ha
Chenxi Liu
54
2
0
22 Sep 2017
Curriculum Learning of Visual Attribute Clusters for Multi-Task
  Classification
Curriculum Learning of Visual Attribute Clusters for Multi-Task Classification
N. Sarafianos
Theodore Giannakopoulos
Christophoros Nikou
I. Kakadiaris
272
44
0
19 Sep 2017
Automatic Goal Generation for Reinforcement Learning Agents
Automatic Goal Generation for Reinforcement Learning Agents
Carlos Florensa
David Held
Xinyang Geng
Pieter Abbeel
527
554
0
17 May 2017
Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play
Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play
Sainbayar Sukhbaatar
Zeming Lin
Ilya Kostrikov
Gabriel Synnaeve
Arthur Szlam
Rob Fergus
SSL
360
360
0
15 Mar 2017
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