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1802.09464
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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
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Papers citing
"Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research"
50 / 370 papers shown
Towards Practical Multi-Object Manipulation using Relational Reinforcement Learning
IEEE International Conference on Robotics and Automation (ICRA), 2019
R. Li
Allan Jabri
Trevor Darrell
Pulkit Agrawal
OffRL
137
118
0
23 Dec 2019
Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation
Tianhong Dai
Kai Arulkumaran
Tamara Gerbert
Samyakh Tukra
Feryal M. P. Behbahani
Anil Anthony Bharath
250
31
0
18 Dec 2019
Training Agents using Upside-Down Reinforcement Learning
R. Srivastava
Pranav Shyam
Filipe Wall Mutz
Wojciech Ja'skowski
Jürgen Schmidhuber
OffRL
234
134
0
05 Dec 2019
Accelerating Reinforcement Learning with Suboptimal Guidance
IFAC-PapersOnLine (IFAC-PapersOnLine), 2019
Eivind Bøhn
Signe Moe
T. Johansen
OnRL
80
0
0
21 Nov 2019
Planning with Goal-Conditioned Policies
Neural Information Processing Systems (NeurIPS), 2019
Soroush Nasiriany
Vitchyr H. Pong
Steven Lin
Sergey Levine
OffRL
370
234
0
19 Nov 2019
Policy Continuation with Hindsight Inverse Dynamics
Neural Information Processing Systems (NeurIPS), 2019
Hao Sun
Zhizhong Li
Xiaotong Liu
Dahua Lin
Bolei Zhou
163
42
0
30 Oct 2019
Geometry-Aware Neural Rendering
Neural Information Processing Systems (NeurIPS), 2019
Joshua Tobin
OpenAI
Pieter Abbeel
3DV
122
24
0
28 Oct 2019
Towards More Sample Efficiency in Reinforcement Learning with Data Augmentation
Yijiong Lin
Jiancong Huang
Matthieu Zimmer
Juan Rojas
Paul Weng
247
5
0
19 Oct 2019
Zero-shot Policy Learning with Spatial Temporal RewardDecomposition on Contingency-aware Observation
Huazhe Xu
Boyuan Chen
Yang Gao
Trevor Darrell
OffRL
198
2
0
17 Oct 2019
Reinforcement Learning for Robotic Manipulation using Simulated Locomotion Demonstrations
Machine-mediated learning (ML), 2019
Ozsel Kilinc
Giovanni Montana
305
46
0
16 Oct 2019
Solving Rubik's Cube with a Robot Hand
OpenAI
Ilge Akkaya
Marcin Andrychowicz
Maciek Chociej
Ma-teusz Litwin
...
Peter Welinder
Lilian Weng
Qiming Yuan
Wojciech Zaremba
Lei Zhang
ODL
467
1,372
0
16 Oct 2019
Assistive Gym: A Physics Simulation Framework for Assistive Robotics
IEEE International Conference on Robotics and Automation (ICRA), 2019
Zackory M. Erickson
Vamsee Gangaram
Ariel Kapusta
Chenxi Liu
Charles C. Kemp
223
121
0
10 Oct 2019
Improving Generalization in Meta Reinforcement Learning using Learned Objectives
International Conference on Learning Representations (ICLR), 2019
Louis Kirsch
Sjoerd van Steenkiste
Jürgen Schmidhuber
OffRL
270
127
0
09 Oct 2019
Learning Parametric Constraints in High Dimensions from Demonstrations
Conference on Robot Learning (CoRL), 2019
Glen Chou
N. Ozay
Dmitry Berenson
138
24
0
08 Oct 2019
MGHRL: Meta Goal-generation for Hierarchical Reinforcement Learning
International Conference on Distributed Artificial Intelligence (DAI), 2019
Haotian Fu
Hongyao Tang
Jianye Hao
Wulong Liu
Chong Chen
127
3
0
30 Sep 2019
ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots
Conference on Robot Learning (CoRL), 2019
Michael Ahn
Henry Zhu
Kristian Hartikainen
Hugo Ponte
Abhishek Gupta
Sergey Levine
Vikash Kumar
228
145
0
25 Sep 2019
Invariant Transform Experience Replay: Data Augmentation for Deep Reinforcement Learning
Yijiong Lin
Jiancong Huang
Matthieu Zimmer
Yisheng Guan
Juan Rojas
Paul Weng
OffRL
356
0
0
24 Sep 2019
How Much Do Unstated Problem Constraints Limit Deep Robotic Reinforcement Learning?
W. Lewis
Mark Moll
Lydia E. Kavraki
OffRL
101
6
0
20 Sep 2019
Option Encoder: A Framework for Discovering a Policy Basis in Reinforcement Learning
Arjun Manoharan
Rahul Ramesh
Balaraman Ravindran
178
3
0
09 Sep 2019
AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers
Conference on Robot Learning (CoRL), 2019
Andrey Kurenkov
Ajay Mandlekar
R. M. Martin
Silvio Savarese
Animesh Garg
173
51
0
09 Sep 2019
Mapping State Space using Landmarks for Universal Goal Reaching
Neural Information Processing Systems (NeurIPS), 2019
Zhiao Huang
Fangchen Liu
Hao Su
188
77
0
15 Aug 2019
Learning to combine primitive skills: A step towards versatile robotic manipulation
Robin Strudel
Alexander Pashevich
Igor Kalevatykh
Ivan Laptev
Josef Sivic
Cordelia Schmid
217
4
0
02 Aug 2019
Hindsight Trust Region Policy Optimization
International Joint Conference on Artificial Intelligence (IJCAI), 2019
Hanbo Zhang
Site Bai
Xuguang Lan
David Hsu
Nanning Zheng
284
10
0
29 Jul 2019
Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling
International Conference on Learning Representations (ICLR), 2019
Yuping Luo
Huazhe Xu
Tengyu Ma
SSL
224
13
0
12 Jul 2019
Disentangled Skill Embeddings for Reinforcement Learning
Janith C. Petangoda
Sergio Pascual-Diaz
Vincent Adam
Peter Vrancx
Jordi Grau-Moya
DRL
OffRL
156
16
0
21 Jun 2019
Directed Exploration for Reinforcement Learning
Z. Guo
Emma Brunskill
118
15
0
18 Jun 2019
Efficient Exploration via State Marginal Matching
Lisa Lee
Benjamin Eysenbach
Emilio Parisotto
Eric Xing
Sergey Levine
Ruslan Salakhutdinov
341
266
0
12 Jun 2019
Learning Powerful Policies by Using Consistent Dynamics Model
Shagun Sodhani
Anirudh Goyal
T. Deleu
Yoshua Bengio
Sergey Levine
Jian Tang
OffRL
96
5
0
11 Jun 2019
Exploration via Hindsight Goal Generation
Neural Information Processing Systems (NeurIPS), 2019
Zhizhou Ren
Kefan Dong
Yuanshuo Zhou
Qiang Liu
Jian-wei Peng
320
99
0
10 Jun 2019
Curiosity-Driven Multi-Criteria Hindsight Experience Replay
John Lanier
Alexander Shmakov
Pierre Baldi
OffRL
174
26
0
09 Jun 2019
Safety Augmented Value Estimation from Demonstrations (SAVED): Safe Deep Model-Based RL for Sparse Cost Robotic Tasks
Brijen Thananjeyan
Ashwin Balakrishna
Ugo Rosolia
Felix Li
R. McAllister
Joseph E. Gonzalez
Sergey Levine
Francesco Borrelli
Ken Goldberg
OffRL
337
4
0
31 May 2019
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning
International Conference on Machine Learning (ICML), 2019
Rui Zhao
Xudong Sun
Volker Tresp
266
92
0
21 May 2019
MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning
Adaptive Agents and Multi-Agent Systems (AAMAS), 2019
Manan Tomar
Akhil Sathuluri
Balaraman Ravindran
124
4
0
17 May 2019
Successor Options: An Option Discovery Framework for Reinforcement Learning
International Joint Conference on Artificial Intelligence (IJCAI), 2019
Rahul Ramesh
Manan Tomar
Balaraman Ravindran
176
38
0
14 May 2019
Bias-Reduced Hindsight Experience Replay with Virtual Goal Prioritization
Binyamin Manela
Armin Biess
195
24
0
14 May 2019
Dot-to-Dot: Explainable Hierarchical Reinforcement Learning for Robotic Manipulation
Benjamin Beyret
A. Shafti
A. Faisal
288
81
0
14 Apr 2019
Autoregressive Policies for Continuous Control Deep Reinforcement Learning
D. Korenkevych
A. R. Mahmood
Gautham Vasan
James Bergstra
151
29
0
27 Mar 2019
Hindsight Generative Adversarial Imitation Learning
N. Liu
Tao Lu
Yinghao Cai
Boyao Li
Shuo Wang
173
6
0
19 Mar 2019
VRKitchen: an Interactive 3D Virtual Environment for Task-oriented Learning
Xiaofeng Gao
Ran Gong
Tianmin Shu
Xu Xie
Shu Wang
Song-Chun Zhu
149
63
0
13 Mar 2019
Open-Sourced Reinforcement Learning Environments for Surgical Robotics
Florian Richter
Ryan K. Orosco
Michael C. Yip
OffRL
143
87
0
05 Mar 2019
Diagnosing Bottlenecks in Deep Q-learning Algorithms
International Conference on Machine Learning (ICML), 2019
Justin Fu
Aviral Kumar
Matthew Soh
Sergey Levine
OffRL
188
147
0
26 Feb 2019
Curiosity-Driven Experience Prioritization via Density Estimation
Rui Zhao
Volker Tresp
365
59
0
20 Feb 2019
CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity
Aditya Bhatt
Daniel Palenicek
Boris Belousov
Max Argus
Artemij Amiranashvili
Thomas Brox
Jan Peters
330
86
0
14 Feb 2019
The StarCraft Multi-Agent Challenge
Adaptive Agents and Multi-Agent Systems (AAMAS), 2019
Mikayel Samvelyan
Tabish Rashid
Christian Schroeder de Witt
Gregory Farquhar
Nantas Nardelli
Tim G. J. Rudner
Chia-Man Hung
Juil Sock
Jakob N. Foerster
Shimon Whiteson
710
1,125
0
11 Feb 2019
Competitive Experience Replay
International Conference on Learning Representations (ICLR), 2019
Hao Liu
Alexander R. Trott
R. Socher
Caiming Xiong
OffRL
306
58
0
01 Feb 2019
InfoBot: Transfer and Exploration via the Information Bottleneck
International Conference on Learning Representations (ICLR), 2019
Anirudh Goyal
Riashat Islam
Daniel Strouse
Zafarali Ahmed
M. Botvinick
Hugo Larochelle
Yoshua Bengio
Sergey Levine
OffRL
642
176
0
30 Jan 2019
CLIC: Curriculum Learning and Imitation for object Control in non-rewarding environments
Pierre Fournier
Olivier Sigaud
Cédric Colas
Mohamed Chetouani
OffRL
267
27
0
28 Jan 2019
Complementary reinforcement learning towards explainable agents
J. H. Lee
121
12
0
01 Jan 2019
A Logarithmic Barrier Method For Proximal Policy Optimization
Cheng Zeng
Hongming Zhang
29
2
0
16 Dec 2018
Residual Policy Learning
Tom Silver
Kelsey R. Allen
J. Tenenbaum
L. Kaelbling
OffRL
440
197
0
15 Dec 2018
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