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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
High-Precise Robot Arm Manipulation based on Online Iterative Learning and Forward Simulation with Positioning Error Below End-Effector Physical Minimum Displacement
Weiming Qu
Tianlin Liu
D. Luo
158
2
0
26 Feb 2023
Diffusion Model-Augmented Behavioral Cloning
International Conference on Machine Learning (ICML), 2023
Shangcheng Chen
Hsiang-Chun Wang
Ming-Hao Hsu
Chun-Mao Lai
Shao-Hua Sun
DiffM
470
39
0
26 Feb 2023
Swapped goal-conditioned offline reinforcement learning
Wenyan Yang
Huiling Wang
Dingding Cai
Joni Pajarinen
Joni-Kristen Kämäräinen
OffRL
OnRL
213
2
0
17 Feb 2023
Prioritized offline Goal-swapping Experience Replay
Wenyan Yang
Joni Pajarinen
Dinging Cai
Joni Kämäräinen
OffRL
OnRL
124
0
0
15 Feb 2023
The Wisdom of Hindsight Makes Language Models Better Instruction Followers
International Conference on Machine Learning (ICML), 2023
Tianjun Zhang
Fangchen Liu
Justin Wong
Pieter Abbeel
Joseph E. Gonzalez
208
58
0
10 Feb 2023
Controllability-Aware Unsupervised Skill Discovery
International Conference on Machine Learning (ICML), 2023
Seohong Park
Kimin Lee
Youngwoon Lee
Pieter Abbeel
365
57
0
10 Feb 2023
Provably Efficient Offline Goal-Conditioned Reinforcement Learning with General Function Approximation and Single-Policy Concentrability
Neural Information Processing Systems (NeurIPS), 2023
Hanlin Zhu
Amy Zhang
OffRL
278
5
0
07 Feb 2023
Identifying Expert Behavior in Offline Training Datasets Improves Behavioral Cloning of Robotic Manipulation Policies
IEEE Robotics and Automation Letters (RA-L), 2023
Qiang-qiang Wang
Robert McCarthy
David Córdova Bulens
Francisco Roldan Sanchez
Kevin McGuinness
Noel E. O'Connor
S. Redmond
OffRL
183
9
0
30 Jan 2023
Task-sequencing Simulator: Integrated Machine Learning to Execution Simulation for Robot Manipulation
Kazuhiro Sasabuchi
Daichi Saito
Atsushi Kanehira
Naoki Wake
Jun Takamatsu
Katsushi Ikeuchi
132
7
0
03 Jan 2023
First Go, then Post-Explore: the Benefits of Post-Exploration in Intrinsic Motivation
International Conference on Agents and Artificial Intelligence (ICAART), 2022
Zhao Yang
Thomas M. Moerland
Mike Preuss
Aske Plaat
188
2
0
06 Dec 2022
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance
Neural Information Processing Systems (NeurIPS), 2022
C. Chang
Ni Mu
Jiajun Wu
Ling Pan
Huazhe Xu
198
9
0
05 Dec 2022
Funnel-based Reward Shaping for Signal Temporal Logic Tasks in Reinforcement Learning
IEEE Robotics and Automation Letters (RA-L), 2022
Naman Saxena
Sandeep Gorantla
Pushpak Jagtap
210
8
0
30 Nov 2022
Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models
Ted Xiao
Harris Chan
P. Sermanet
Ayzaan Wahid
Anthony Brohan
Karol Hausman
Sergey Levine
Jonathan Tompson
VLM
LM&Ro
426
77
0
21 Nov 2022
Efficient Representations of Object Geometry for Reinforcement Learning of Interactive Grasping Policies
International Conference on Robotic Computing (IRC), 2022
Malte Mosbach
Sven Behnke
173
5
0
20 Nov 2022
Discrete Factorial Representations as an Abstraction for Goal Conditioned Reinforcement Learning
Riashat Islam
Hongyu Zang
Anirudh Goyal
Alex Lamb
Kenji Kawaguchi
Xin-hui Li
Romain Laroche
Yoshua Bengio
Rémi Tachet des Combes
OffRL
AI4CE
239
12
0
01 Nov 2022
Reinforcement Learning for Solving Robotic Reaching Tasks in the Neurorobotics Platform
Márton Szep
Leander Lauenburg
Kevin Farkas
Xiyan Su
Chuanlong Zang
163
0
0
31 Oct 2022
Goal Exploration Augmentation via Pre-trained Skills for Sparse-Reward Long-Horizon Goal-Conditioned Reinforcement Learning
Machine-mediated learning (ML), 2022
Lisheng Wu
Ke Chen
348
7
0
28 Oct 2022
PaCo: Parameter-Compositional Multi-Task Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2022
Lingfeng Sun
Haichao Zhang
Wei Xu
Masayoshi Tomizuka
MoE
196
56
0
21 Oct 2022
RMBench: Benchmarking Deep Reinforcement Learning for Robotic Manipulator Control
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Yanfei Xiang
Xin Wang
Shu Hu
Bin Zhu
Xiaomeng Huang
Xi Wu
Siwei Lyu
SSL
281
10
0
20 Oct 2022
Task Phasing: Automated Curriculum Learning from Demonstrations
International Conference on Automated Planning and Scheduling (ICAPS), 2022
Vaibhav Bajaj
Guni Sharon
Peter Stone
251
9
0
20 Oct 2022
CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations
Neural Information Processing Systems (NeurIPS), 2022
Kai Yan
Alex Schwing
Yu-Xiong Wang
OffRL
219
3
0
18 Oct 2022
Robust Imitation of a Few Demonstrations with a Backwards Model
Neural Information Processing Systems (NeurIPS), 2022
Jung Yeon Park
Lawson L. S. Wong
155
13
0
17 Oct 2022
A Multi-Agent Approach for Adaptive Finger Cooperation in Learning-based In-Hand Manipulation
IEEE International Conference on Robotics and Automation (ICRA), 2022
Lingfeng Tao
Jiucai Zhang
Michael Bowman
Xiaoli Zhang
192
6
0
11 Oct 2022
Flexible Attention-Based Multi-Policy Fusion for Efficient Deep Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2022
Zih-Yun Chiu
Yi-Lin Tuan
William Yang Wang
Michael C. Yip
OffRL
221
6
0
07 Oct 2022
Query The Agent: Improving sample efficiency through epistemic uncertainty estimation
Julian Alverio
Boris Katz
Andrei Barbu
185
1
0
05 Oct 2022
Hierarchical reinforcement learning for in-hand robotic manipulation using Davenport chained rotations
International Conference on Automation, Robotics and Applications (ICARA), 2022
Francisco Roldan Sanchez
Qiang-qiang Wang
David Córdova Bulens
Kevin McGuinness
Stephen J. Redmond
Noel E. O'Connor
144
1
0
03 Oct 2022
Efficiently Learning Small Policies for Locomotion and Manipulation
IEEE International Conference on Robotics and Automation (ICRA), 2022
Shashank Hegde
Gaurav Sukhatme
239
3
0
30 Sep 2022
Understanding Hindsight Goal Relabeling from a Divergence Minimization Perspective
Lunjun Zhang
Bradly C. Stadie
209
1
0
26 Sep 2022
Goal-Aware Generative Adversarial Imitation Learning from Imperfect Demonstration for Robotic Cloth Manipulation
Yoshihisa Tsurumine
Takamitsu Matsubara
99
21
0
21 Sep 2022
Towards advanced robotic manipulation
International Conference on Robotic Computing (IRC), 2022
Francisco Roldan Sanchez
Stephen J. Redmond
Kevin McGuinness
Noel E. O'Connor
174
1
0
19 Sep 2022
Optimistic Curiosity Exploration and Conservative Exploitation with Linear Reward Shaping
Hao Sun
Lei Han
Rui Yang
Xiaoteng Ma
Jian Guo
Bolei Zhou
OffRL
OnRL
167
11
0
15 Sep 2022
Cluster-based Sampling in Hindsight Experience Replay for Robotic Tasks (Student Abstract)
AAAI Conference on Artificial Intelligence (AAAI), 2022
Taeyoung Kim
Dong-Soo Har
OffRL
149
0
0
31 Aug 2022
Goal-Conditioned Q-Learning as Knowledge Distillation
AAAI Conference on Artificial Intelligence (AAAI), 2022
Alexander Levine
Soheil Feizi
OffRL
330
3
0
28 Aug 2022
Metric Residual Networks for Sample Efficient Goal-Conditioned Reinforcement Learning
B. Liu
Yihao Feng
Qian Liu
Peter Stone
270
9
0
17 Aug 2022
Relay Hindsight Experience Replay: Self-Guided Continual Reinforcement Learning for Sequential Object Manipulation Tasks with Sparse Rewards
Neurocomputing (Neurocomputing), 2022
Yongle Luo
Yuxin Wang
Kun Dong
Qiaosheng Zhang
Erkang Cheng
Zhiyong Sun
Bo Song
179
30
0
01 Aug 2022
Graph-Structured Policy Learning for Multi-Goal Manipulation Tasks
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
David Klee
Ondrej Biza
Robert Platt
OffRL
234
1
0
22 Jul 2022
USHER: Unbiased Sampling for Hindsight Experience Replay
Conference on Robot Learning (CoRL), 2022
Liam Schramm
Yunfu Deng
Edgar Granados
Abdeslam Boularias
88
6
0
03 Jul 2022
Watch and Match: Supercharging Imitation with Regularized Optimal Transport
Conference on Robot Learning (CoRL), 2022
Siddhant Haldar
Vaibhav Mathur
Denis Yarats
Lerrel Pinto
285
84
0
30 Jun 2022
Dext-Gen: Dexterous Grasping in Sparse Reward Environments with Full Orientation Control
Martin Schuck
Jan Brüdigam
A. Capone
Roland Toth
Sandra Hirche
192
1
0
28 Jun 2022
Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation
Neural Information Processing Systems (NeurIPS), 2022
Cansu Sancaktar
Sebastian Blaes
Georg Martius
LM&Ro
393
34
0
22 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2022
Benjamin Eysenbach
Tianjun Zhang
Ruslan Salakhutdinov
Sergey Levine
SSL
OffRL
359
211
0
15 Jun 2022
Stein Variational Goal Generation for adaptive Exploration in Multi-Goal Reinforcement Learning
International Conference on Machine Learning (ICML), 2022
Nicolas Castanet
Sylvain Lamprier
Olivier Sigaud
231
4
0
14 Jun 2022
Pragmatically Learning from Pedagogical Demonstrations in Multi-Goal Environments
Neural Information Processing Systems (NeurIPS), 2022
Hugo Caselles-Dupré
Olivier Sigaud
Mohamed Chetouani
183
3
0
09 Jun 2022
Introspective Experience Replay: Look Back When Surprised
Ramnath Kumar
Dheeraj M. Nagaraj
OffRL
291
3
0
07 Jun 2022
How Far I'll Go: Offline Goal-Conditioned Reinforcement Learning via
f
f
f
-Advantage Regression
Neural Information Processing Systems (NeurIPS), 2022
Yecheng Jason Ma
Jason Yan
Dinesh Jayaraman
Osbert Bastani
OffRL
258
73
0
07 Jun 2022
MyoSuite -- A contact-rich simulation suite for musculoskeletal motor control
Conference on Learning for Dynamics & Control (L4DC), 2022
Vittorio Caggiano
Huawei Wang
G. Durandau
Massimo Sartori
Vikash Kumar
212
127
0
26 May 2022
Dexterous Robotic Manipulation using Deep Reinforcement Learning and Knowledge Transfer for Complex Sparse Reward-based Tasks
Qiang Wang
Francisco Roldan Sanchez
Robert McCarthy
David Córdova Bulens
Kevin McGuinness
Noel E. O'Connor
M. Wuthrich
Felix Widmaier
Stefan Bauer
S. Redmond
289
18
0
19 May 2022
Diverse Imitation Learning via Self-Organizing Generative Models
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Arash Vahabpour
Tianyi Wang
Qiujing Lu
Omead Brandon Pooladzandi
V. Roychowdhury
SSL
190
4
0
06 May 2022
Bilinear value networks
Zhang-Wei Hong
Ge Yang
Pulkit Agrawal
OffRL
275
10
0
28 Apr 2022
GloCAL: Glocalized Curriculum-Aided Learning of Multiple Tasks with Application to Robotic Grasping
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Anil Kurkcu
C. Acar
D. Campolo
K. P. Tee
163
1
0
14 Apr 2022
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