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Multi-Goal Reinforcement Learning: Challenging Robotics Environments and
  Request for Research
v1v2 (latest)

Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research

26 February 2018
Matthias Plappert
Marcin Andrychowicz
Alex Ray
Bob McGrew
Bowen Baker
Glenn Powell
Jonas Schneider
Joshua Tobin
Maciek Chociej
Peter Welinder
Vikash Kumar
Wojciech Zaremba
ArXiv (abs)PDFHTML

Papers citing "Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research"

20 / 370 papers shown
BlockPuzzle - A Challenge in Physical Reasoning and Generalization for
  Robot Learning
BlockPuzzle - A Challenge in Physical Reasoning and Generalization for Robot Learning
Yixiu Zhao
Ziyin Liu
LRM
66
0
0
30 Nov 2018
Exploring Restart Distributions
Exploring Restart Distributions
Arash Tavakoli
Vitaly Levdik
Riashat Islam
Christopher M. Smith
Petar Kormushev
OffRL
197
5
0
27 Nov 2018
Model Learning for Look-ahead Exploration in Continuous Control
Model Learning for Look-ahead Exploration in Continuous ControlAAAI Conference on Artificial Intelligence (AAAI), 2018
Arpit Agarwal
Katharina Muelling
Katerina Fragkiadaki
139
9
0
20 Nov 2018
Natural Environment Benchmarks for Reinforcement Learning
Natural Environment Benchmarks for Reinforcement Learning
Amy Zhang
Yuxin Wu
Joelle Pineau
OffRLOOD
200
69
0
14 Nov 2018
Meta-Learning for Multi-objective Reinforcement Learning
Meta-Learning for Multi-objective Reinforcement LearningIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2018
Xi Chen
Ali Ghadirzadeh
Mårten Björkman
Pablo G. Cámara
OffRL
146
63
0
08 Nov 2018
CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning
CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning
Cédric Colas
Pierre Fournier
Olivier Sigaud
Mohamed Chetouani
Pierre-Yves Oudeyer
265
40
0
15 Oct 2018
The Laplacian in RL: Learning Representations with Efficient
  Approximations
The Laplacian in RL: Learning Representations with Efficient Approximations
Yifan Wu
George Tucker
Ofir Nachum
OffRL
137
104
0
10 Oct 2018
Energy-Based Hindsight Experience Prioritization
Energy-Based Hindsight Experience Prioritization
Rui Zhao
Volker Tresp
470
78
0
02 Oct 2018
S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State
  Representation Learning
S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning
Antonin Raffin
Ashley Hill
Kalifou René Traoré
Timothée Lesort
Natalia Díaz Rodríguez
David Filliat
OffRL
261
35
0
25 Sep 2018
Improvements on Hindsight Learning
Improvements on Hindsight Learning
Ameet Deshpande
Srikanth Sarma
Ashutosh Jha
Balaraman Ravindran
OffRL
132
3
0
16 Sep 2018
Deep Learning with Experience Ranking Convolutional Neural Network for
  Robot Manipulator
Deep Learning with Experience Ranking Convolutional Neural Network for Robot Manipulator
Hai V. Nguyen
Hung M. La
M. Deans
SSLOffRL
86
8
0
16 Sep 2018
Learning Dexterous In-Hand Manipulation
Learning Dexterous In-Hand Manipulation
OpenAI OpenAI
Marcin Andrychowicz
Bowen Baker
Maciek Chociej
Rafal Jozefowicz
...
Szymon Sidor
Joshua Tobin
Peter Welinder
Lilian Weng
Wojciech Zaremba
732
2,063
0
01 Aug 2018
Variational Option Discovery Algorithms
Variational Option Discovery Algorithms
Joshua Achiam
Harrison Edwards
Dario Amodei
Pieter Abbeel
DRL
233
193
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
315
578
0
12 Jul 2018
Adversarial Active Exploration for Inverse Dynamics Model Learning
Adversarial Active Exploration for Inverse Dynamics Model LearningConference on Robot Learning (CoRL), 2018
Zhang-Wei Hong
Tsu-Jui Fu
Tzu-Yun Shann
Yi-Hsiang Chang
Chun-Yi Lee
128
7
0
26 Jun 2018
Data-Efficient Hierarchical Reinforcement Learning
Data-Efficient Hierarchical Reinforcement Learning
Ofir Nachum
S. Gu
Honglak Lee
Sergey Levine
OffRL
615
917
0
21 May 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
620
1,874
0
30 Mar 2018
Evolved Policy Gradients
Evolved Policy Gradients
Rein Houthooft
Richard Y. Chen
Phillip Isola
Bradly C. Stadie
Filip Wolski
Jonathan Ho
Pieter Abbeel
431
235
0
13 Feb 2018
Hindsight policy gradients
Hindsight policy gradients
Paulo E. Rauber
Avinash Ummadisingu
Filipe Wall Mutz
J. Schmidhuber
298
74
0
16 Nov 2017
Factored Contextual Policy Search with Bayesian Optimization
Factored Contextual Policy Search with Bayesian Optimization
Peter Karkus
A. Kupcsik
David Hsu
Wee Sun Lee
OffRL
206
11
0
06 Dec 2016
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