Hindsight Experience Replay

5 July 2017

Pieter Abbeel

Papers citing "Hindsight Experience Replay"

50 / 1,242 papers shown

Title
Personalized Path Recourse for Reinforcement Learning Agents Dat Hong Tong Wang 20 0 0 14 Dec 2023
Learning adaptive planning representations with natural language guidance L. Wong Jiayuan Mao Pratyusha Sharma Zachary S. Siegel Jiahai Feng Noa Korneev Joshua B. Tenenbaum Jacob Andreas LM&Ro 31 21 0 13 Dec 2023
Building Open-Ended Embodied Agent via Language-Policy Bidirectional Adaptation Shaopeng Zhai Jie Wang Tianyi Zhang Fuxian Huang Qi Zhang Ming Zhou Jing Hou Yu Qiao Yu Liu LLMAG LM&Ro 37 1 0 12 Dec 2023
Synergizing Quality-Diversity with Descriptor-Conditioned Reinforcement Learning Maxence Faldor Félix Chalumeau Manon Flageat Antoine Cully 32 2 0 10 Dec 2023
Efficient Sparse-Reward Goal-Conditioned Reinforcement Learning with a High Replay Ratio and Regularization Takuya Hiraoka OffRL 27 1 0 10 Dec 2023
Backward Learning for Goal-Conditioned Policies Marc Höftmann Jan Robine Stefan Harmeling 34 1 0 08 Dec 2023
PlayFusion: Skill Acquisition via Diffusion from Language-Annotated Play Lili Chen Shikhar Bahl Deepak Pathak 22 41 0 07 Dec 2023
Pearl: A Production-ready Reinforcement Learning Agent Zheqing Zhu Rodrigo de Salvo Braz Jalaj Bhandari Daniel Jiang Yi Wan ... D. Korenkevych Ürün Dogan Frank Cheng Zheng Wu Wanqiao Xu VLM OffRL OnRL 39 6 0 06 Dec 2023
Diffused Task-Agnostic Milestone Planner Mineui Hong Minjae Kang Songhwai Oh 21 6 0 06 Dec 2023
Understanding Representations Pretrained with Auxiliary Losses for Embodied Agent Planning Samrudhdhi B. Rangrej James J. Clark SSL 37 0 0 06 Dec 2023
Contact Energy Based Hindsight Experience Prioritization Erdi Sayar Zhenshan Bing Carlo DÉramo Ozgur S. Oguz Alois Knoll 16 3 0 05 Dec 2023
Visual Hindsight Self-Imitation Learning for Interactive Navigation Kibeom Kim Kisung Shin Min Whoo Lee Moonhoen Lee Minsu Lee Byoung-Tak Zhang 29 2 0 05 Dec 2023
Working Backwards: Learning to Place by Picking Oliver Limoyo Abhisek Konar Trevor Ablett Jonathan Kelly F. Hogan Gregory Dudek 25 0 0 04 Dec 2023
AdsorbRL: Deep Multi-Objective Reinforcement Learning for Inverse Catalysts Design Romain Lacombe Lucas Hendren Khalid El-Awady 15 1 0 04 Dec 2023
Modular Control Architecture for Safe Marine Navigation: Reinforcement Learning and Predictive Safety Filters Aksel Vaaler Svein Jostein Husa Daniel Menges T. N. Larsen Adil Rasheed 19 2 0 04 Dec 2023
Bias Resilient Multi-Step Off-Policy Goal-Conditioned Reinforcement Learning Lisheng Wu Ke Chen 13 0 0 29 Nov 2023
Goal-conditioned Offline Planning from Curious Exploration Marco Bagatella Georg Martius OffRL 21 1 0 28 Nov 2023
Offline Skill Generalization via Task and Motion Planning Shin Watanabe Geir Horn J. Tørresen K. Ellefsen OffRL 20 0 0 24 Nov 2023
Multi-Objective Reinforcement Learning Based on Decomposition: A Taxonomy and Framework Florian Felten El-Ghazali Talbi Grégoire Danoy 11 13 0 21 Nov 2023
Towards a Standardized Reinforcement Learning Framework for AAM Contingency Management Luis E. Alvarez Marc W. Brittain Kara Breeden 11 2 0 17 Nov 2023
Signal Temporal Logic-Guided Apprenticeship Learning Aniruddh Gopinath Puranic Jyotirmoy V. Deshmukh Stefanos Nikolaidis 40 1 0 09 Nov 2023
Mitigating Estimation Errors by Twin TD-Regularized Actor and Critic for Deep Reinforcement Learning Junmin Zhong Ruofan Wu Jennie Si OffRL 11 1 0 07 Nov 2023
PcLast: Discovering Plannable Continuous Latent States Anurag Koul Shivakanth Sujit Shaoru Chen Ben Evans Lili Wu ... Yonathan Efroni Lekan Molu Miro Dudik John Langford Alex Lamb OffRL BDL 26 1 0 06 Nov 2023
CLIP-Motion: Learning Reward Functions for Robotic Actions Using Consecutive Observations Xuzhe Dang Stefan Edelkamp 37 4 0 06 Nov 2023
SMORE: Score Models for Offline Goal-Conditioned Reinforcement Learning Harshit S. Sikchi Rohan Chitnis Ahmed Touati A. Geramifard Amy Zhang S. Niekum OffRL 31 7 0 03 Nov 2023
Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning M. Gerstgrasser Tom Danino Sarah Keren 23 5 0 01 Nov 2023
Autonomous Robotic Reinforcement Learning with Asynchronous Human Feedback Max Balsells M. Torné Zihan Wang Samedh Desai Pulkit Agrawal Abhishek Gupta 42 10 0 31 Oct 2023
Learning to Discover Skills through Guidance Hyunseung Kim ByungKun Lee Hojoon Lee Dongyoon Hwang Sejik Park Kyushik Min Jaegul Choo 47 6 0 31 Oct 2023
Contrastive Difference Predictive Coding Chongyi Zheng Ruslan Salakhutdinov Benjamin Eysenbach AI4TS OffRL 28 11 0 31 Oct 2023
GOPlan: Goal-conditioned Offline Reinforcement Learning by Planning with Learned Models Mianchu Wang Rui Yang Xi Chen Hao Sun Meng Fang Giovanni Montana OffRL 36 9 0 30 Oct 2023
Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills Seongun Kim Kyowoon Lee Jaesik Choi SSL DRL 41 7 0 30 Oct 2023
Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning Zhaoyi Zhou Chuning Zhu Runlong Zhou Qiwen Cui Abhishek Gupta S. S. Du OffRL 40 8 0 30 Oct 2023
Diversify & Conquer: Outcome-directed Curriculum RL via Out-of-Distribution Disagreement Daesol Cho Seungjae Lee H. J. Kim OODD 29 0 0 30 Oct 2023
Unsupervised Behavior Extraction via Random Intent Priors Haotian Hu Yiqin Yang Jianing Ye Ziqing Mai Chongjie Zhang OffRL 34 6 0 28 Oct 2023
Guided Data Augmentation for Offline Reinforcement Learning and Imitation Learning Nicholas Corrado Yu-Tao Qu John U. Balis Adam Labiosa Josiah P. Hanna OffRL 35 2 0 27 Oct 2023
Understanding when Dynamics-Invariant Data Augmentations Benefit Model-Free Reinforcement Learning Updates Nicholas Corrado Josiah P. Hanna 29 4 0 26 Oct 2023
CQM: Curriculum Reinforcement Learning with a Quantized World Model Seungjae Lee Daesol Cho Jonghae Park H. J. Kim 28 6 0 26 Oct 2023
Learning Agility and Adaptive Legged Locomotion via Curricular Hindsight Reinforcement Learning Sicen Li Yiming Pang Panju Bai Zhaojin Liu Jiawei Li Shihao Hu Liquan Wang Gang Wang 27 2 0 24 Oct 2023
Cold Diffusion on the Replay Buffer: Learning to Plan from Known Good States Zidan Wang Takeru Oba Takuma Yoneda Rui Shen Matthew R. Walter Bradly C. Stadie DiffM 32 9 0 21 Oct 2023
Teaching Language Models to Self-Improve through Interactive Demonstrations Xiao Yu Baolin Peng Michel Galley Jianfeng Gao Zhou Yu LRM ReLM 35 19 0 20 Oct 2023
Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous Control Chao Li Chen Gong Qiang He Xinwen Hou 30 0 0 17 Oct 2023
CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization Bodhisattwa Prasad Majumder Bhavana Dalvi Peter Alexander Jansen Oyvind Tafjord Niket Tandon Li Zhang Chris Callison-Burch Peter Clark LRM LLMAG CLL 21 37 0 16 Oct 2023
AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents Jake Grigsby Linxi Fan Yuke Zhu OffRL LM&Ro 38 10 0 15 Oct 2023
GROOT: Learning to Follow Instructions by Watching Gameplay Videos Shaofei Cai Bowei Zhang Zihao Wang Xiaojian Ma Guy Van den Broeck Yitao Liang 83 26 0 12 Oct 2023
Understanding the Effects of RLHF on LLM Generalisation and Diversity Robert Kirk Ishita Mediratta Christoforos Nalmpantis Jelena Luketina Eric Hambro Edward Grefenstette Roberta Raileanu AI4CE ALM 115 122 0 10 Oct 2023
Human-Robot Gym: Benchmarking Reinforcement Learning in Human-Robot Collaboration Jakob Thumm Felix Trost Matthias Althoff OffRL 36 6 0 09 Oct 2023
Reinforcement Learning in the Era of LLMs: What is Essential? What is needed? An RL Perspective on RLHF, Prompting, and Beyond Hao Sun OffRL 34 21 0 09 Oct 2023
Learning Interactive Real-World Simulators Mengjiao Yang Yilun Du Kamyar Ghasemipour Jonathan Tompson Leslie Kaelbling Dale Schuurmans Pieter Abbeel LM&Ro PINN 30 180 0 09 Oct 2023
Compositional Servoing by Recombining Demonstrations Max Argus Abhijeet Nayak Martin Buchner Silvio Galesso Abhinav Valada Thomas Brox 25 0 0 06 Oct 2023
Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-Visual Environments: A Comparison Moritz Lange Noah Krystiniak Raphael C. Engelhardt Wolfgang Konen Laurenz Wiskott OffRL 13 1 0 06 Oct 2023