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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
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Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining
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Yisheng Lv
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338
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01 Oct 2024
Bi-directional Momentum-based Haptic Feedback and Control System for In-Hand Dexterous Telemanipulation
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112
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30 Sep 2024
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Dongheui Lee
227
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16 Sep 2024
Quasimetric Value Functions with Dense Rewards
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249
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13 Sep 2024
Goal-Reaching Policy Learning from Non-Expert Observations via Effective Subgoal Guidance
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264
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06 Sep 2024
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400
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Emergence in Multi-Agent Systems: A Safety Perspective
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247
3
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08 Aug 2024
Real-time Dexterous Telemanipulation with an End-Effect-Oriented Learning-based Approach
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He Bai
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Yunsik Jung
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183
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228
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285
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18 Jul 2024
Variable-Agnostic Causal Exploration for Reinforcement Learning
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Hung Le
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255
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Safety-Driven Deep Reinforcement Learning Framework for Cobots: A Sim2Real Approach
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Shakra Mehak
Georgios C. Chasparis
John D. Kelleher
Michael Guilfoyle
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Aswin K Ramasubramanian
313
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02 Jul 2024
Mental Modeling of Reinforcement Learning Agents by Language Models
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Xufeng Zhao
Josua Spisak
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Stefan Wermter
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253
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26 Jun 2024
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Yann Besse
Florent Teichteil-Königsbuch
Dennis G. Wilson
Emmanuel Rachelson
247
1
0
14 Jun 2024
Redundancy-aware Action Spaces for Robot Learning
IEEE Robotics and Automation Letters (RA-L), 2024
Pietro Mazzaglia
Nicholas Backshall
Xiao Ma
Stephen James
230
6
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06 Jun 2024
Multi-Agent Transfer Learning via Temporal Contrastive Learning
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Joseph Campbell
Simon Stepputtis
Katia Sycara
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248
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Causal Action Influence Aware Counterfactual Data Augmentation
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191
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29 May 2024
HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning
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Ziqing Fan
Li Shen
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220
13
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28 May 2024
Diffusion-Reward Adversarial Imitation Learning
Chun-Mao Lai
Hsiang-Chun Wang
Ping-Chun Hsieh
Yu-Chiang Frank Wang
Min-Hung Chen
Shao-Hua Sun
207
15
0
25 May 2024
Going into Orbit: Massively Parallelizing Episodic Reinforcement Learning
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Johann Bonneau
97
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19 May 2024
vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement
Adaptive Agents and Multi-Agent Systems (AAMAS), 2024
Yiwen Zhu
Jinyi Liu
Wenya Wei
Qianyi Fu
Yujing Hu
Zhou Fang
Bo An
Jianye Hao
Tangjie Lv
Changjie Fan
242
5
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14 May 2024
I-CTRL: Imitation to Control Humanoid Robots Through Constrained Reinforcement Learning
Yashuai Yan
Esteve Valls Mascaro
Tobias Egle
Dongheui Lee
292
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14 May 2024
Trajectory Planning of Robotic Manipulator in Dynamic Environment Exploiting DRL
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Hammad Naeem
176
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25 Mar 2024
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406
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15 Mar 2024
Offline Goal-Conditioned Reinforcement Learning for Shape Control of Deformable Linear Objects
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Mohammadreza Shetab-Bushehri
Gabriel Arslan Waltersson
Erol Özgür
Y. Mezouar
Y. Karayiannidis
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293
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15 Mar 2024
World Models for Autonomous Driving: An Initial Survey
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Haicheng Liao
Zhenning Li
Jia Hu
Runze Yuan
Yunjian Li
Guohui Zhang
Chengzhong Xu
428
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05 Mar 2024
Offline Goal-Conditioned Reinforcement Learning for Safety-Critical Tasks with Recovery Policy
Chenyang Cao
Zichen Yan
Renhao Lu
Junbo Tan
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188
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04 Mar 2024
ACE : Off-Policy Actor-Critic with Causality-Aware Entropy Regularization
Tianying Ji
Yongyuan Liang
Yan Zeng
Yu-Juan Luo
Guowei Xu
Jiawei Guo
Ruijie Zheng
Furong Huang
Gang Hua
Huazhe Xu
CML
317
17
0
22 Feb 2024
MENTOR: Guiding Hierarchical Reinforcement Learning with Human Feedback and Dynamic Distance Constraint
Xinglin Zhou
Yifu Yuan
Shaofu Yang
Jianye Hao
187
6
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22 Feb 2024
Learning Goal-Conditioned Policies from Sub-Optimal Offline Data via Metric Learning
Alfredo Reichlin
Miguel Vasco
Hang Yin
Danica Kragic
OffRL
393
1
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16 Feb 2024
Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning
Zhiheng Xi
Wenxiang Chen
Boyang Hong
Senjie Jin
Rui Zheng
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Xinbo Zhang
Yang Liu
Tao Gui
Tao Gui
Xuanjing Huang
LRM
206
53
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08 Feb 2024
Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning
Shengyi Huang
Quentin Gallouedec
Florian Felten
Antonin Raffin
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Alexander Nikulin
Xiao Hu
Tianlin Liu
Jongwook Choi
Brent Yi
OffRL
263
20
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05 Feb 2024
To the Max: Reinventing Reward in Reinforcement Learning
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Wendelin Bohmer
Mathijs de Weerdt
216
11
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02 Feb 2024
SLIM: Skill Learning with Multiple Critics
David Emukpere
Bingbing Wu
Julien Perez
J. Renders
248
2
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01 Feb 2024
Exploration and Anti-Exploration with Distributional Random Network Distillation
Kai Yang
Jian Tao
Jiafei Lyu
Xiu Li
448
27
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18 Jan 2024
Identifying Policy Gradient Subspaces
International Conference on Learning Representations (ICLR), 2024
Jan Schneider-Barnes
Pierre Schumacher
Simon Guist
Tianyu Cui
Daniel Haeufle
Bernhard Scholkopf
Le Chen
289
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12 Jan 2024
Open-Source Reinforcement Learning Environments Implemented in MuJoCo with Franka Manipulator
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283
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HiER: Highlight Experience Replay for Boosting Off-Policy Reinforcement Learning Agents
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203
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ReRoGCRL: Representation-based Robustness in Goal-Conditioned Reinforcement Learning
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Jiaxu Liu
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Xiaowei Huang
Wenjie Ruan
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344
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Efficient Sparse-Reward Goal-Conditioned Reinforcement Learning with a High Replay Ratio and Regularization
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269
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Robotic Control of the Deformation of Soft Linear Objects Using Deep Reinforcement Learning
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Miguel Aranda
Laurent Lequievre
S. Lengagne
J. Corrales
Y. Mezouar
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161
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08 Dec 2023
Contact Energy Based Hindsight Experience Prioritization
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Erdi Sayar
Zhenshan Bing
Carlo DÉramo
Ozgur S. Oguz
Alois Knoll
232
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05 Dec 2023
Regularity as Intrinsic Reward for Free Play
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Cansu Sancaktar
J. Piater
Georg Martius
235
7
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Bias Resilient Multi-Step Off-Policy Goal-Conditioned Reinforcement Learning
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Ke Chen
149
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Geir Horn
J. Tørresen
K. Ellefsen
OffRL
258
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24 Nov 2023
CLIP-Motion: Learning Reward Functions for Robotic Actions Using Consecutive Observations
Xuzhe Dang
Stefan Edelkamp
483
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06 Nov 2023
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