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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"

50 / 370 papers shown
Bayesian Optimization of Function Networks with Partial Evaluations
Bayesian Optimization of Function Networks with Partial EvaluationsInternational Conference on Machine Learning (ICML), 2023
Poompol Buathong
Jiayue Wan
Raul Astudillo
Sam Daulton
Maximilian Balandat
P. Frazier
256
5
0
03 Nov 2023
SMORE: Score Models for Offline Goal-Conditioned Reinforcement Learning
SMORE: Score Models for Offline Goal-Conditioned Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2023
Harshit S. Sikchi
Rohan Chitnis
Ahmed Touati
A. Geramifard
Amy Zhang
S. Niekum
OffRL
456
13
0
03 Nov 2023
DreamSmooth: Improving Model-based Reinforcement Learning via Reward
  Smoothing
DreamSmooth: Improving Model-based Reinforcement Learning via Reward SmoothingInternational Conference on Learning Representations (ICLR), 2023
Vint Lee
Pieter Abbeel
Youngwoon Lee
216
7
0
02 Nov 2023
The Power of the Senses: Generalizable Manipulation from Vision and
  Touch through Masked Multimodal Learning
The Power of the Senses: Generalizable Manipulation from Vision and Touch through Masked Multimodal LearningIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Carmelo Sferrazza
Younggyo Seo
Hao Liu
Youngwoon Lee
Pieter Abbeel
289
27
0
02 Nov 2023
A Definition of Open-Ended Learning Problems for Goal-Conditioned Agents
A Definition of Open-Ended Learning Problems for Goal-Conditioned Agents
Olivier Sigaud
Gianluca Baldassarre
Cédric Colas
Stéphane Doncieux
Richard J. Duro
Pierre-Yves Oudeyer
Nicolas Perrin-Gilbert
V. Santucci
AI4CE
545
19
0
01 Nov 2023
Autonomous Robotic Reinforcement Learning with Asynchronous Human
  Feedback
Autonomous Robotic Reinforcement Learning with Asynchronous Human FeedbackConference on Robot Learning (CoRL), 2023
Max Balsells
M. Torné
Zihan Wang
Samedh Desai
Pulkit Agrawal
Abhishek Gupta
251
13
0
31 Oct 2023
Contrastive Difference Predictive Coding
Contrastive Difference Predictive CodingInternational Conference on Learning Representations (ICLR), 2023
Chongyi Zheng
Ruslan Salakhutdinov
Benjamin Eysenbach
AI4TSOffRL
323
26
0
31 Oct 2023
GOPlan: Goal-conditioned Offline Reinforcement Learning by Planning with
  Learned Models
GOPlan: Goal-conditioned Offline Reinforcement Learning by Planning with Learned Models
Mianchu Wang
Rui Yang
Xi Chen
Hao Sun
Meng Fang
Giovanni Montana
OffRL
421
15
0
30 Oct 2023
Variational Curriculum Reinforcement Learning for Unsupervised Discovery
  of Skills
Variational Curriculum Reinforcement Learning for Unsupervised Discovery of SkillsInternational Conference on Machine Learning (ICML), 2023
Seongun Kim
Kyowoon Lee
Jaesik Choi
SSLDRL
283
16
0
30 Oct 2023
Understanding when Dynamics-Invariant Data Augmentations Benefit
  Model-Free Reinforcement Learning Updates
Understanding when Dynamics-Invariant Data Augmentations Benefit Model-Free Reinforcement Learning UpdatesInternational Conference on Learning Representations (ICLR), 2023
Nicholas Corrado
Josiah P. Hanna
283
6
0
26 Oct 2023
Absolute Policy Optimization
Absolute Policy Optimization
Weiye Zhao
Feihan Li
Yifan Sun
Rui Chen
Tianhao Wei
Changliu Liu
421
5
0
20 Oct 2023
RoboHive: A Unified Framework for Robot Learning
RoboHive: A Unified Framework for Robot LearningNeural Information Processing Systems (NeurIPS), 2023
Vikash Kumar
Rutav Shah
Gaoyue Zhou
Vincent Moens
Vittorio Caggiano
Jay Vakil
Abhishek Gupta
Aravind Rajeswaran
217
40
0
10 Oct 2023
$f$-Policy Gradients: A General Framework for Goal Conditioned RL using
  $f$-Divergences
fff-Policy Gradients: A General Framework for Goal Conditioned RL using fff-DivergencesNeural Information Processing Systems (NeurIPS), 2023
Siddhant Agarwal
Ishan Durugkar
Peter Stone
Amy Zhang
259
12
0
10 Oct 2023
Reinforcement Learning in the Era of LLMs: What is Essential? What is
  needed? An RL Perspective on RLHF, Prompting, and Beyond
Reinforcement Learning in the Era of LLMs: What is Essential? What is needed? An RL Perspective on RLHF, Prompting, and Beyond
Hao Sun
OffRL
242
27
0
09 Oct 2023
Improving Reinforcement Learning Efficiency with Auxiliary Tasks in
  Non-Visual Environments: A Comparison
Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-Visual Environments: A ComparisonInternational Conference on Machine Learning, Optimization, and Data Science (MOD), 2023
Moritz Lange
Noah Krystiniak
Raphael C. Engelhardt
Wolfgang Konen
Laurenz Wiskott
OffRL
172
2
0
06 Oct 2023
Learning and reusing primitive behaviours to improve Hindsight
  Experience Replay sample efficiency
Learning and reusing primitive behaviours to improve Hindsight Experience Replay sample efficiencyInternational Conference on Automation, Robotics and Applications (ICARA), 2023
Francisco Roldan Sanchez
Qiang Wang
David Córdova Bulens
Kevin McGuinness
Stephen J. Redmond
Noel E. O'Connor
OffRLOnRL
174
1
0
03 Oct 2023
ComSD: Balancing Behavioral Quality and Diversity in Unsupervised Skill Discovery
ComSD: Balancing Behavioral Quality and Diversity in Unsupervised Skill Discovery
Xin Liu
Yaran Chen
Dong Zhao
256
0
0
29 Sep 2023
Stable In-hand Manipulation with Finger Specific Multi-agent Shadow
  Reward
Stable In-hand Manipulation with Finger Specific Multi-agent Shadow Reward
Lingfeng Tao
Jiucai Zhang
Xiaoli Zhang
190
0
0
13 Sep 2023
Learning Control Policies for Variable Objectives from Offline Data
Learning Control Policies for Variable Objectives from Offline DataIEEE Symposium Series on Computational Intelligence (IEEE-SSCI), 2023
Marc Weber
Phillip Swazinna
D. Hein
Steffen Udluft
V. Sterzing
OffRL
183
9
0
11 Aug 2023
Sim-to-Real Model-Based and Model-Free Deep Reinforcement Learning for
  Tactile Pushing
Sim-to-Real Model-Based and Model-Free Deep Reinforcement Learning for Tactile PushingIEEE Robotics and Automation Letters (RA-L), 2023
Max Yang
Yijiong Lin
Alex Church
John Lloyd
Dandan Zhang
David A.W. Barton
Nathan Lepora
OffRL
269
20
0
26 Jul 2023
Contrastive Example-Based Control
Contrastive Example-Based ControlConference on Learning for Dynamics & Control (L4DC), 2023
Kyle Hatch
Benjamin Eysenbach
Rafael Rafailov
Tianhe Yu
Ruslan Salakhutdinov
Sergey Levine
Chelsea Finn
OffRL
298
4
0
24 Jul 2023
Learning Dynamic Attribute-factored World Models for Efficient
  Multi-object Reinforcement Learning
Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2023
Fan Feng
Sara Magliacane
OffRLOCL
249
15
0
18 Jul 2023
Magnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement
  Learning
Magnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement LearningIEEE/CAA Journal of Automatica Sinica (IEEE/CAA JAS), 2023
Hongyu Ding
Yuan-Yan Tang
Qing Wu
Bo Wang
Chunlin Chen
Zhi Wang
325
7
0
16 Jul 2023
Can Pre-Trained Text-to-Image Models Generate Visual Goals for
  Reinforcement Learning?
Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning?Neural Information Processing Systems (NeurIPS), 2023
Jialu Gao
Kaizhe Hu
Guowei Xu
Huazhe Xu
LM&Ro
196
21
0
15 Jul 2023
SAR: Generalization of Physiological Agility and Dexterity via
  Synergistic Action Representation
SAR: Generalization of Physiological Agility and Dexterity via Synergistic Action Representation
C. Berg
Vittorio Caggiano
Vikash Kumar
150
23
0
07 Jul 2023
Elastic Decision Transformer
Elastic Decision TransformerNeural Information Processing Systems (NeurIPS), 2023
Yueh-hua Wu
Xiaolong Wang
Masashi Hamaya
OffRL
725
66
0
05 Jul 2023
LARG, Language-based Automatic Reward and Goal Generation
LARG, Language-based Automatic Reward and Goal Generation
Julien Perez
Denys Proux
Claude Roux
Michael Niemaz
LM&Ro
140
1
0
19 Jun 2023
On Evolvability and Behavior Landscapes in Neuroevolutionary Divergent
  Search
On Evolvability and Behavior Landscapes in Neuroevolutionary Divergent SearchAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2023
Bruno Gašperov
Marko Đurasević
120
0
0
16 Jun 2023
Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement
  Learning
Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement LearningInternational Conference on Machine Learning (ICML), 2023
Sam Lobel
Akhil Bagaria
George Konidaris
229
28
0
05 Jun 2023
Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy
  Actor-Critic
Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy Actor-CriticInternational Conference on Machine Learning (ICML), 2023
Tianying Ji
Yuping Luo
Gang Hua
Xianyuan Zhan
Jianwei Zhang
Huazhe Xu
OffRLOnRL
394
21
0
05 Jun 2023
Efficient Multi-Task and Transfer Reinforcement Learning with
  Parameter-Compositional Framework
Efficient Multi-Task and Transfer Reinforcement Learning with Parameter-Compositional FrameworkIEEE Robotics and Automation Letters (RA-L), 2023
Lingfeng Sun
Haichao Zhang
Wei Xu
Masayoshi Tomizuka
269
11
0
02 Jun 2023
Heterogeneous Knowledge for Augmented Modular Reinforcement Learning
Heterogeneous Knowledge for Augmented Modular Reinforcement Learning
Lorenz Wolf
Mirco Musolesi
OffRL
222
0
0
01 Jun 2023
What is Essential for Unseen Goal Generalization of Offline
  Goal-conditioned RL?
What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL?International Conference on Machine Learning (ICML), 2023
Rui Yang
Yong Lin
Xiaoteng Ma
Haotian Hu
Chongjie Zhang
Tong Zhang
OffRL
221
33
0
30 May 2023
Adaptive PD Control using Deep Reinforcement Learning for Local-Remote
  Teleoperation with Stochastic Time Delays
Adaptive PD Control using Deep Reinforcement Learning for Local-Remote Teleoperation with Stochastic Time DelaysIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Lucy McCutcheon
Saber Fallah
222
1
0
26 May 2023
L-SA: Learning Under-Explored Targets in Multi-Target Reinforcement
  Learning
L-SA: Learning Under-Explored Targets in Multi-Target Reinforcement Learning
Kibeom Kim
Hyun-Dong Lee
Min Whoo Lee
Moonheon Lee
Minsu Lee
Byoung-Tak Zhang
177
1
0
23 May 2023
Demonstration-free Autonomous Reinforcement Learning via Implicit and
  Bidirectional Curriculum
Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional CurriculumInternational Conference on Machine Learning (ICML), 2023
Jigang Kim
Daesol Cho
H. J. Kim
297
4
0
17 May 2023
SMAClite: A Lightweight Environment for Multi-Agent Reinforcement
  Learning
SMAClite: A Lightweight Environment for Multi-Agent Reinforcement Learning
Adam Michalski
Filippos Christianos
Stefano V. Albrecht
116
6
0
09 May 2023
Toward Evaluating Robustness of Reinforcement Learning with Adversarial
  Policy
Toward Evaluating Robustness of Reinforcement Learning with Adversarial PolicyDependable Systems and Networks (DSN), 2023
Jiawei Zhao
Jiabo He
Florian Schäfer
Xinyu Wang
Anima Anandkumar
Cong Wang
AAML
311
5
0
04 May 2023
Distance Weighted Supervised Learning for Offline Interaction Data
Distance Weighted Supervised Learning for Offline Interaction DataInternational Conference on Machine Learning (ICML), 2023
Joey Hejna
Jensen Gao
Dorsa Sadigh
OffRL
256
18
0
26 Apr 2023
Aiding reinforcement learning for set point control
Aiding reinforcement learning for set point controlIFAC-PapersOnLine (IFAC-PapersOnLine), 2023
Ruoqing Zhang
Per Mattsson
T. Wigren
164
3
0
20 Apr 2023
Robust nonlinear set-point control with reinforcement learning
Robust nonlinear set-point control with reinforcement learningAmerican Control Conference (ACC), 2023
Ruoqing Zhang
Per Mattsson
T. Wigren
OOD
120
2
0
20 Apr 2023
Observer-Feedback-Feedforward Controller Structures in Reinforcement
  Learning
Observer-Feedback-Feedforward Controller Structures in Reinforcement LearningIFAC-PapersOnLine (IFAC-PapersOnLine), 2023
Ruoqing Zhang
Per Mattsson
T. Wigren
143
1
0
20 Apr 2023
Progressive Transfer Learning for Dexterous In-Hand Manipulation with
  Multi-Fingered Anthropomorphic Hand
Progressive Transfer Learning for Dexterous In-Hand Manipulation with Multi-Fingered Anthropomorphic HandIEEE Transactions on Cognitive and Developmental Systems (IEEE TCDS), 2023
Yongkang Luo
Wanyi Li
Peng Wang
Haonan Duan
Wei Wei
Jia sun
183
4
0
19 Apr 2023
Safety Guaranteed Manipulation Based on Reinforcement Learning Planner
  and Model Predictive Control Actor
Safety Guaranteed Manipulation Based on Reinforcement Learning Planner and Model Predictive Control Actor
Zhenshan Bing
A. Mavrichev
Si-Si Shen
Xiangtong Yao
Ke Chen
Kai Huang
Alois C. Knoll
135
1
0
18 Apr 2023
CRISP: Curriculum inducing Primitive Informed Subgoal Prediction
CRISP: Curriculum inducing Primitive Informed Subgoal Prediction
Utsav Singh
Vinay P. Namboodiri
345
3
0
07 Apr 2023
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning
Optimal Goal-Reaching Reinforcement Learning via Quasimetric LearningInternational Conference on Machine Learning (ICML), 2023
Tongzhou Wang
Antonio Torralba
Phillip Isola
Amy Zhang
OffRL
532
71
0
03 Apr 2023
Imitating Graph-Based Planning with Goal-Conditioned Policies
Imitating Graph-Based Planning with Goal-Conditioned PoliciesInternational Conference on Learning Representations (ICLR), 2023
Junsup Kim
Younggyo Seo
SungSoo Ahn
Kyunghwan Son
Jinwoo Shin
198
15
0
20 Mar 2023
Goal-conditioned Offline Reinforcement Learning through State Space
  Partitioning
Goal-conditioned Offline Reinforcement Learning through State Space PartitioningMachine-mediated learning (ML), 2023
Mianchu Wang
Yue Jin
Giovanni Montana
OffRL
148
4
0
16 Mar 2023
GOATS: Goal Sampling Adaptation for Scooping with Curriculum
  Reinforcement Learning
GOATS: Goal Sampling Adaptation for Scooping with Curriculum Reinforcement LearningIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Yaru Niu
Shiyu Jin
Zeqing Zhang
Jiacheng Zhu
Ding Zhao
Liangjun Zhang
254
12
0
09 Mar 2023
Active Reward Learning from Online Preferences
Active Reward Learning from Online PreferencesIEEE International Conference on Robotics and Automation (ICRA), 2023
Vivek Myers
Erdem Biyik
Dorsa Sadigh
OffRL
212
15
0
27 Feb 2023
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