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1707.01495
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Hindsight Experience Replay
5 July 2017
Marcin Andrychowicz
Dwight Crow
Alex Ray
Jonas Schneider
Rachel Fong
Peter Welinder
Bob McGrew
Joshua Tobin
Pieter Abbeel
Wojciech Zaremba
OffRL
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Papers citing
"Hindsight Experience Replay"
50 / 1,339 papers shown
A Data Efficient Framework for Learning Local Heuristics
Symposium on Combinatorial Search (SoCS), 2024
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Maren Bennewitz
326
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07 Apr 2024
Rethinking Teacher-Student Curriculum Learning through the Cooperative Mechanics of Experience
Manfred Diaz
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Andrea Tacchetti
385
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03 Apr 2024
Is Exploration All You Need? Effective Exploration Characteristics for Transfer in Reinforcement Learning
Jonathan C. Balloch
Rishav Bhagat
Geigh Zollicoffer
Ruoran Jia
Julia Kim
Mark O. Riedl
OffRL
218
2
0
02 Apr 2024
Entity-Centric Reinforcement Learning for Object Manipulation from Pixels
Dan Haramati
Tal Daniel
Aviv Tamar
LM&Ro
OffRL
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250
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01 Apr 2024
Learning Off-policy with Model-based Intrinsic Motivation For Active Online Exploration
Yibo Wang
Jiang Zhao
OffRL
OnRL
244
0
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31 Mar 2024
Trajectory Planning of Robotic Manipulator in Dynamic Environment Exploiting DRL
Osama Ahmad
Zawar Hussain
Hammad Naeem
178
3
0
25 Mar 2024
FootstepNet: an Efficient Actor-Critic Method for Fast On-line Bipedal Footstep Planning and Forecasting
Clément Gaspard
G. Passault
Mélodie Daniel
Olivier Ly
115
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19 Mar 2024
The Value of Reward Lookahead in Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2024
Nadav Merlis
Dorian Baudry
Vianney Perchet
207
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18 Mar 2024
Phasic Diversity Optimization for Population-Based Reinforcement Learning
Jingcheng Jiang
Haiyin Piao
Yu Fu
Yihang Hao
Chuanlu Jiang
Ziqi Wei
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220
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17 Mar 2024
SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning
Nicholas Zolman
Christian Lagemann
Urban Fasel
J. Nathan Kutz
Steven Brunton
AI4CE
313
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0
14 Mar 2024
BAGEL: Bootstrapping Agents by Guiding Exploration with Language
International Conference on Machine Learning (ICML), 2024
Shikhar Murty
Christopher D. Manning
Peter Shaw
Mandar Joshi
Kenton Lee
LM&Ro
LLMAG
335
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12 Mar 2024
RLingua: Improving Reinforcement Learning Sample Efficiency in Robotic Manipulations With Large Language Models
IEEE Robotics and Automation Letters (RA-L), 2024
Liangliang Chen
Yutian Lei
Shiyu Jin
Ying Zhang
Liangjun Zhang
LM&Ro
294
23
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11 Mar 2024
Why Online Reinforcement Learning is Causal
Oliver Schulte
Pascal Poupart
CML
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292
2
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07 Mar 2024
RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches
Priya Sundaresan
Q. Vuong
Jiayuan Gu
Peng Xu
Ted Xiao
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Ajinkya Jain
Karol Hausman
Dorsa Sadigh
Jeannette Bohg
S. Schaal
VGen
240
39
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05 Mar 2024
Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks
Ziping Xu
Zifan Xu
Runxuan Jiang
Peter Stone
Ambuj Tewari
352
2
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03 Mar 2024
Dr. Strategy: Model-Based Generalist Agents with Strategic Dreaming
Hany Hamed
Subin Kim
Dongyeong Kim
Jaesik Yoon
Sungjin Ahn
376
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29 Feb 2024
Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings
Kevin Frans
Seohong Park
Pieter Abbeel
Sergey Levine
OffRL
291
18
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27 Feb 2024
Foundation Policies with Hilbert Representations
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Tobias Kreiman
Sergey Levine
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OffRL
394
50
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23 Feb 2024
MENTOR: Guiding Hierarchical Reinforcement Learning with Human Feedback and Dynamic Distance Constraint
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Yifu Yuan
Shaofu Yang
Jianye Hao
187
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22 Feb 2024
Learning control strategy in soft robotics through a set of configuration spaces
Etienne Ménager
Christian Duriez
244
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21 Feb 2024
Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment
Rui Yang
Xiaoman Pan
Feng Luo
Delin Qu
Han Zhong
Dong Yu
Jianshu Chen
559
117
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15 Feb 2024
Single-Reset Divide & Conquer Imitation Learning
Alexandre Chenu
Olivier Serris
Olivier Sigaud
Nicolas Perrin-Gilbert
200
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14 Feb 2024
Nearly Minimax Optimal Regret for Learning Linear Mixture Stochastic Shortest Path
Qiwei Di
Jiafan He
Dongruo Zhou
Quanquan Gu
196
2
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14 Feb 2024
A Dense Reward View on Aligning Text-to-Image Diffusion with Preference
Shentao Yang
Tianqi Chen
Mingyuan Zhou
EGVM
348
44
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13 Feb 2024
Stitching Sub-Trajectories with Conditional Diffusion Model for Goal-Conditioned Offline RL
AAAI Conference on Artificial Intelligence (AAAI), 2024
Sungyoon Kim
Yunseon Choi
Daiki E. Matsunaga
Kee-Eung Kim
OffRL
258
17
0
11 Feb 2024
Offline Actor-Critic Reinforcement Learning Scales to Large Models
Jost Tobias Springenberg
A. Abdolmaleki
Jingwei Zhang
Oliver Groth
Michael Bloesch
...
Sarah Bechtle
Steven Kapturowski
Agrim Gupta
N. Heess
Martin Riedmiller
OffRL
LRM
218
33
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08 Feb 2024
CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay
Natasha Butt
Blazej Manczak
Auke Wiggers
Corrado Rainone
David W. Zhang
Michaël Defferrard
Taco S. Cohen
ReLM
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207
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07 Feb 2024
Logical Specifications-guided Dynamic Task Sampling for Reinforcement Learning Agents
International Conference on Automated Planning and Scheduling (ICAPS), 2024
Yash Shukla
Wenchang Gao
Vasanth Sarathy
Robert Wright
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Jivko Sinapov
257
1
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06 Feb 2024
DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Design
International Conference on Machine Learning (ICML), 2024
Samuel Garcin
James Doran
Shangmin Guo
Christopher G. Lucas
Stefano V. Albrecht
487
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05 Feb 2024
Trust and ethical considerations in a multi-modal, explainable AI-driven chatbot tutoring system: The case of collaboratively solving Rubik's Cube
Kausik Lakkaraju
Vedant Khandelwal
Biplav Srivastava
Forest Agostinelli
Hengtao Tang
Prathamjeet Singh
Dezhi Wu
Matthew Irvin
Ashish Kundu
196
2
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30 Jan 2024
Zero-Shot Reinforcement Learning via Function Encoders
Tyler Ingebrand
Amy Zhang
Ufuk Topcu
OffRL
455
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30 Jan 2024
Scilab-RL: A software framework for efficient reinforcement learning and cognitive modeling research
Jan Dohmen
Frank Röder
Manfred Eppe
OffRL
63
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25 Jan 2024
Back-stepping Experience Replay with Application to Model-free Reinforcement Learning for a Soft Snake Robot
IEEE Robotics and Automation Letters (RA-L), 2024
Xinda Qi
Dong Chen
Zhao Li
Xiaobo Tan
202
5
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21 Jan 2024
CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents
Siyuan Qi
Shuo Chen
Yexin Li
Xiangyu Kong
Junqi Wang
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Zhaowei Zhang
Nian Liu
Wei Wang
Yaodong Yang
Song-Chun Zhu
AI4CE
LRM
425
31
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19 Jan 2024
Robotic Test Tube Rearrangement Using Combined Reinforcement Learning and Motion Planning
Hao Chen
Weiwei Wan
Masaki Matsushita
Takeyuki Kotaka
Kensuke Harada
173
4
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18 Jan 2024
Sharing Knowledge in Multi-Task Deep Reinforcement Learning
International Conference on Learning Representations (ICLR), 2020
Carlo DÉramo
Davide Tateo
Andrea Bonarini
Marcello Restelli
Jan Peters
338
141
0
17 Jan 2024
Beyond Sparse Rewards: Enhancing Reinforcement Learning with Language Model Critique in Text Generation
Meng Cao
Lei Shu
Lei Yu
Yun Zhu
Nevan Wichers
Yinxiao Liu
Lei Meng
OffRL
ALM
325
15
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14 Jan 2024
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents
Neural Information Processing Systems (NeurIPS), 2024
Quentin Delfosse
Sebastian Sztwiertnia
M. Rothermel
Wolfgang Stammer
Kristian Kersting
392
25
0
11 Jan 2024
Towards Safe Load Balancing based on Control Barrier Functions and Deep Reinforcement Learning
IEEE/IFIP Network Operations and Management Symposium (NOMS), 2024
L. Dinh
Pham Tran Anh Quang
Jérémie Leguay
93
4
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10 Jan 2024
GLIDE-RL: Grounded Language Instruction through DEmonstration in RL
Adaptive Agents and Multi-Agent Systems (AAMAS), 2024
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S. Gottipati
Tanmay Kumar Sinha
Srijita Das
Matthew E. Taylor
LLMAG
199
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Explicit-Implicit Subgoal Planning for Long-Horizon Tasks with Sparse Reward
Fangyuan Wang
Anqing Duan
Peng Zhou
Shengzeng Huo
Guodong Guo
Chenguang Yang
D. Navarro-Alarcon
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275
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25 Dec 2023
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Srijita Das
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Jalal Arabneydi
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Matthew J. Guzdial
Matthew E. Taylor
203
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23 Dec 2023
Open-Source Reinforcement Learning Environments Implemented in MuJoCo with Franka Manipulator
Zichun Xu
Yuntao Li
Xiaohang Yang
Zhiyuan Zhao
Zhuang Lei
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285
6
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21 Dec 2023
GO-DICE: Goal-Conditioned Option-Aware Offline Imitation Learning via Stationary Distribution Correction Estimation
Abhinav Jain
Vaibhav Unhelkar
OffRL
199
10
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17 Dec 2023
Multi-agent Reinforcement Learning: A Comprehensive Survey
Dom Huh
Prasant Mohapatra
AI4CE
322
43
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HiER: Highlight Experience Replay for Boosting Off-Policy Reinforcement Learning Agents
IEEE Access (IEEE Access), 2023
Dániel Horváth
Jesús Bujalance Martín
Ferenc Gàbor Erdos
Z. Istenes
Fabien Moutarde
OffRL
220
3
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Personalized Path Recourse for Reinforcement Learning Agents
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Tong Wang
338
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Learning adaptive planning representations with natural language guidance
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Jiayuan Mao
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Zachary S. Siegel
Jiahai Feng
Noa Korneev
Joshua B. Tenenbaum
Jacob Andreas
LM&Ro
270
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Building Open-Ended Embodied Agent via Language-Policy Bidirectional Adaptation
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Jie Wang
Tianyi Zhang
Fuxian Huang
Tao Gui
Ming Zhou
Jing Hou
Yu Qiao
Yu Liu
LLMAG
LM&Ro
489
4
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12 Dec 2023
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