Hindsight Experience Replay

5 July 2017

Pieter Abbeel

Papers citing "Hindsight Experience Replay"

50 / 1,244 papers shown

Title
Planning Goals for Exploration E. Hu Richard Chang Oleh Rybkin Dinesh Jayaraman 43 24 0 23 Mar 2023
A Survey of Historical Learning: Learning Models with Learning History Xiang Li Ge Wu Lingfeng Yang Wenzhe Wang Renjie Song Jian Yang MU AI4TS 31 2 0 23 Mar 2023
Imitating Graph-Based Planning with Goal-Conditioned Policies Junsup Kim Younggyo Seo Sungsoo Ahn Kyunghwan Son Jinwoo Shin 34 10 0 20 Mar 2023
Conversational Tree Search: A New Hybrid Dialog Task Dirk Vath Lindsey Vanderlyn Ngoc Thang Vu 51 7 0 17 Mar 2023
Efficient Learning of High Level Plans from Play Núria Armengol Urpí Marco Bagatella Otmar Hilliges Georg Martius Stelian Coros OffRL 27 3 0 16 Mar 2023
Goal-conditioned Offline Reinforcement Learning through State Space Partitioning Mianchu Wang Yue Jin Giovanni Montana OffRL 21 3 0 16 Mar 2023
GOATS: Goal Sampling Adaptation for Scooping with Curriculum Reinforcement Learning Yaru Niu Shiyu Jin Zeqing Zhang Jiacheng Zhu Ding Zhao Liangjun Zhang 35 7 0 09 Mar 2023
Exploiting Contextual Structure to Generate Useful Auxiliary Tasks Benedict Quartey Ankit Shah George Konidaris 33 3 0 09 Mar 2023
Grasping Student: semi-supervised learning for robotic manipulation P. Krzywicki Krzysztof Ciebiera Rafal Michaluk Inga Maziarz Marek Cygan SSL 27 0 0 08 Mar 2023
One-4-All: Neural Potential Fields for Embodied Navigation Sacha Morin Miguel A. Saavedra-Ruiz Liam Paull 35 5 0 07 Mar 2023
Hindsight States: Blending Sim and Real Task Elements for Efficient Reinforcement Learning Simon Guist Jan Schneider-Barnes Alexander Dittrich V. Berenz Bernhard Schölkopf Le Chen 29 3 0 03 Mar 2023
Hierarchical Reinforcement Learning in Complex 3D Environments Bernardo Avila-Pires Feryal M. P. Behbahani Hubert Soyer Kyriacos Nikiforou Thomas Keck Satinder Singh OffRL 23 0 0 28 Feb 2023
Auxiliary Task-based Deep Reinforcement Learning for Quantum Control Shumin Zhou Hailan Ma S. Kuang Daoyi Dong 29 5 0 28 Feb 2023
A Supervisory Learning Control Framework for Autonomous & Real-time Task Planning for an Underactuated Cooperative Robotic task Sander De Witte Tom Lefebvre Thijs Van Hauwermeiren Guillaume Crevecoeur 21 0 0 22 Feb 2023
Curiosity-driven Exploration in Sparse-reward Multi-agent Reinforcement Learning Jiong Li Pratik Gajane 37 4 0 21 Feb 2023
Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems Yihao Feng Shentao Yang Shujian Zhang Jianguo Zhang Caiming Xiong Mi Zhou Haiquan Wang OffRL 31 24 0 20 Feb 2023
Understanding the effect of varying amounts of replay per step A. Paul Videh Raj Nema 8 0 0 20 Feb 2023
Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot Tao Huang Kai-xiang Chen Bin Li Yunhui Liu Qingxu Dou 35 23 0 20 Feb 2023
Natural Language-conditioned Reinforcement Learning with Inside-out Task Language Development and Translation Jing-Cheng Pang Xinyi Yang Sibei Yang Yang Yu 29 8 0 18 Feb 2023
Swapped goal-conditioned offline reinforcement learning Wenyan Yang Huiling Wang Dingding Cai Joni Pajarinen Joni-Kristen Kämäräinen OffRL OnRL 36 1 0 17 Feb 2023
Prioritized offline Goal-swapping Experience Replay Wenyan Yang Joni Pajarinen Dinging Cai Joni Kämäräinen OffRL OnRL 32 0 0 15 Feb 2023
ALAN: Autonomously Exploring Robotic Agents in the Real World Russell Mendonca Shikhar Bahl Deepak Pathak LM&Ro 36 20 0 13 Feb 2023
A Song of Ice and Fire: Analyzing Textual Autotelic Agents in ScienceWorld Laetitia Teodorescu Eric Yuan Marc-Alexandre Côté Pierre-Yves Oudeyer 32 1 0 10 Feb 2023
The Wisdom of Hindsight Makes Language Models Better Instruction Followers Tianjun Zhang Fangchen Liu Justin Wong Pieter Abbeel Joseph E. Gonzalez 31 44 0 10 Feb 2023
Scaling Goal-based Exploration via Pruning Proto-goals Akhil Bagaria Ray Jiang Ramana Kumar Tom Schaul LRM 11 2 0 09 Feb 2023
Sample-efficient Multi-objective Molecular Optimization with GFlowNets Yiheng Zhu Jialun Wu Chaowen Hu Jiahuan Yan Chang-Yu Hsieh Tingjun Hou Jian Wu 27 33 0 08 Feb 2023
Object-Centric Scene Representations using Active Inference Toon Van de Maele Tim Verbelen Pietro Mazzaglia Stefano Ferraro Bart Dhoedt OCL BDL 43 5 0 07 Feb 2023
SurgT challenge: Benchmark of Soft-Tissue Trackers for Robotic Surgery João Cartucho Alistair Weld Samyakh Tukra Haozheng Xu Hiroki Matsuzaki ... B. Silva Estevão Lima João L. Vilaça Sandro Queiros Stamatia Giannarou 22 11 0 06 Feb 2023
Chain of Hindsight Aligns Language Models with Feedback Hao Liu Carmelo Sferrazza Pieter Abbeel ALM 31 117 0 06 Feb 2023
Skill Decision Transformer Shyam Sudhakaran S. Risi OffRL 26 5 0 31 Jan 2023
On the Statistical Benefits of Temporal Difference Learning David Cheikhi Daniel Russo 11 4 0 30 Jan 2023
Distilling Internet-Scale Vision-Language Models into Embodied Agents T. Sumers Kenneth Marino Arun Ahuja Rob Fergus Ishita Dasgupta LM&Ro 46 24 0 29 Jan 2023
A Memory Efficient Deep Reinforcement Learning Approach For Snake Game Autonomous Agents Md. Rafat Rahman Tushar Shahnewaz Siddique 17 5 0 27 Jan 2023
Outcome-directed Reinforcement Learning by Uncertainty & Temporal Distance-Aware Curriculum Goal Generation Daesol Cho Seungjae Lee H. J. Kim 31 14 0 27 Jan 2023
Alien Coding Thibault Gauthier Miroslav Olsák J. Urban 32 7 0 27 Jan 2023
AutoCost: Evolving Intrinsic Cost for Zero-violation Reinforcement Learning Tairan He Weiye Zhao Changliu Liu OffRL 34 17 0 24 Jan 2023
PushWorld: A benchmark for manipulation planning with tools and movable obstacles Ken Kansky Skanda Vaidyanath Scott Swingle Xinghua Lou Miguel Lazaro-Gredilla Dileep George 26 4 0 24 Jan 2023
SMART: Self-supervised Multi-task pretrAining with contRol Transformers Yanchao Sun Shuang Ma Ratnesh Madaan Rogerio Bonatti Furong Huang Ashish Kapoor 35 40 0 24 Jan 2023
Deep Reinforcement Learning for Concentric Tube Robot Path Following Keshav Iyengar Sarah Spurgeon Danail Stoyanov MedIm 18 4 0 22 Jan 2023
A Survey on Transformers in Reinforcement Learning Wenzhe Li Hao Luo Zichuan Lin Chongjie Zhang Zongqing Lu Deheng Ye OffRL MU AI4CE 37 55 0 08 Jan 2023
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping Lina Mezghani Sainbayar Sukhbaatar Piotr Bojanowski A. Lazaric Alahari Karteek OffRL 44 18 0 05 Jan 2023
Genetic Imitation Learning by Reward Extrapolation Boyuan Zheng Jianlong Zhou Fang Chen 19 0 0 03 Jan 2023
Human-in-the-loop Embodied Intelligence with Interactive Simulation Environment for Surgical Robot Learning Yonghao Long Wang Wei Tao Huang Yuehao Wang Qingxu Dou 39 32 0 01 Jan 2023
Towards automating Codenames spymasters with deep reinforcement learning Sherman Siu 22 2 0 28 Dec 2022
Off-Policy Reinforcement Learning with Loss Function Weighted by Temporal Difference Error Bumgeun Park Taeyoung Kim Woohyeon Moon L. Vecchietti Dongsoo Har OffRL 26 2 0 26 Dec 2022
Understanding the Complexity Gains of Single-Task RL with a Curriculum Qiyang Li Yuexiang Zhai Yi Ma Sergey Levine 37 14 0 24 Dec 2022
SHIRO: Soft Hierarchical Reinforcement Learning Kandai Watanabe Mathew Strong Omer Eldar 24 1 0 24 Dec 2022
Reward Bonuses with Gain Scheduling Inspired by Iterative Deepening Search Taisuke Kobayashi 17 1 0 21 Dec 2022
Planning Immediate Landmarks of Targets for Model-Free Skill Transfer across Agents Minghuan Liu Zhengbang Zhu Menghui Zhu Yuzheng Zhuang Weinan Zhang Jianye Hao 18 0 0 18 Dec 2022
Offline Reinforcement Learning for Visual Navigation Dhruv Shah Arjun Bhorkar Hrish Leen Ilya Kostrikov Nicholas Rhinehart Sergey Levine OffRL 24 29 0 16 Dec 2022