Hindsight Experience Replay

5 July 2017

Pieter Abbeel

Papers citing "Hindsight Experience Replay"

50 / 1,245 papers shown

Title
Sensor-Based Navigation Using Hierarchical Reinforcement Learning Christoph Gebauer Nils Dengler Maren Bennewitz 20 4 0 30 Aug 2021
SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning Jiaqi Xu Bin Li Bo Lu Yunhui Liu Qi Dou Pheng-Ann Heng 29 74 0 30 Aug 2021
Subgoal Search For Complex Reasoning Tasks K. Czechowski Tomasz Odrzygó'zd'z Marek Zbysiñski Michał Zawalski Krzysztof Olejnik Yuhuai Wu Lukasz Kuciñski Piotr Milo's ReLM LRM 34 35 0 25 Aug 2021
Collect & Infer -- a fresh look at data-efficient Reinforcement Learning Martin Riedmiller Jost Tobias Springenberg Roland Hafner N. Heess OffRL 26 17 0 23 Aug 2021
Diversity-based Trajectory and Goal Selection with Hindsight Experience Replay Tianhong Dai Hengyan Liu Kai Arulkumaran Guangyu Ren Anil Anthony Bharath 31 11 0 17 Aug 2021
Monolithic vs. hybrid controller for multi-objective Sim-to-Real learning Atakan Dag A. Angleraud Wenyan Yang N. Strokina R. Pieters Minna Lanz Joni-Kristian Kamarainen 16 0 0 17 Aug 2021
VeRLPy: Python Library for Verification of Digital Designs with Reinforcement Learning Aebel Joe Shibu S. Sadhana N. Shilpa Pratyush Kumar AAML 17 6 0 09 Aug 2021
Parallelized Reverse Curriculum Generation Zih-Yun Chiu Yi-Lin Tuan Hung-yi Lee Li-Chen Fu 22 1 0 04 Aug 2021
Self-Supervised Disentangled Representation Learning for Third-Person Imitation Learning Jinghuan Shang Michael S. Ryoo SSL 24 24 0 02 Aug 2021
ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations Tongzhou Mu Z. Ling Fanbo Xiang Derek Yang Xuanlin Li Stone Tao Zhiao Huang Zhiwei Jia Hao Su 44 132 0 30 Jul 2021
Value-Based Reinforcement Learning for Continuous Control Robotic Manipulation in Multi-Task Sparse Reward Settings Sreehari Rammohan Shangqun Yu Bowen He Eric Hsiung Eric Rosen Stefanie Tellex George Konidaris OffRL 11 4 0 28 Jul 2021
Autonomous Reinforcement Learning via Subgoal Curricula Archit Sharma Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 27 27 0 27 Jul 2021
Open-Ended Learning Leads to Generally Capable Agents Open-Ended Learning Team Adam Stooke Anuj Mahajan Catarina Barros Charlie Deck ... Nicolas Porcel Roberta Raileanu Steph Hughes-Fitt Valentin Dalibard Wojciech M. Czarnecki 55 181 0 27 Jul 2021
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning Iou-Jen Liu Unnat Jain Raymond A. Yeh Alex Schwing 44 104 0 23 Jul 2021
Bayesian Controller Fusion: Leveraging Control Priors in Deep Reinforcement Learning for Robotics Krishan Rana Vibhavari Dasagi Jesse Haviland Ben Talbot Michael Milford Niko Sünderhauf BDL OffRL 27 31 0 21 Jul 2021
Unsupervised Skill-Discovery and Skill-Learning in Minecraft J. J. Nieto Roger Creus Xavier Giró-i-Nieto SSL DRL 27 4 0 18 Jul 2021
Hierarchical Reinforcement Learning with Optimal Level Synchronization based on a Deep Generative Model JaeYoon Kim Junyu Xuan Christy Jie Liang F. Hussain 6 0 0 17 Jul 2021
MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning Kevin Wenliang Li Abhishek Gupta Ashwin Reddy Vitchyr H. Pong Aurick Zhou Justin Yu Sergey Levine UQCV 25 32 0 15 Jul 2021
Plan-Based Relaxed Reward Shaping for Goal-Directed Tasks Ingmar Schubert Ozgur S. Oguz Marc Toussaint OffRL 34 5 0 14 Jul 2021
Offline Meta-Reinforcement Learning with Online Self-Supervision Vitchyr H. Pong Ashvin Nair Laura M. Smith Catherine Huang Sergey Levine OffRL 39 66 0 08 Jul 2021
Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning Yuexiang Zhai Christina Baek Zhengyuan Zhou Jiantao Jiao Yi Ma 27 22 0 08 Jul 2021
CLAIM: Curriculum Learning Policy for Influence Maximization in Unknown Social Networks Dexun Li Meghna Lowalekar Pradeep Varakantham OffRL 21 10 0 08 Jul 2021
SocialAI: Benchmarking Socio-Cognitive Abilities in Deep Reinforcement Learning Agents Grgur Kovač Rémy Portelas Katja Hofmann Pierre-Yves Oudeyer ALM 32 6 0 02 Jul 2021
Goal-Conditioned Reinforcement Learning with Imagined Subgoals Elliot Chane-Sane Cordelia Schmid Ivan Laptev 30 141 0 01 Jul 2021
MHER: Model-based Hindsight Experience Replay Rui Yang Meng Fang Lei Han Yali Du Feng Luo Xiu Li OffRL 29 17 0 01 Jul 2021
VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects Ruihai Wu Yan Zhao Kaichun Mo Zizheng Guo Yian Wang Tianhao Wu Qingnan Fan Xuelin Chen Leonidas J. Guibas Hao Dong 44 90 0 28 Jun 2021
Continuous Control with Deep Reinforcement Learning for Autonomous Vessels Nader Zare Bruno Brandoli Mahtab Sarvmaili Amilcar Soares Stan Matwin 19 8 0 27 Jun 2021
panda-gym: Open-source goal-conditioned environments for robotic learning Quentin Gallouedec Nicolas Cazin Emmanuel Dellandrea Liming Chen OffRL 19 77 0 25 Jun 2021
Mix and Mask Actor-Critic Methods Dom Huh 27 1 0 24 Jun 2021
Imitation Learning: Progress, Taxonomies and Challenges Boyuan Zheng Sunny Verma Jianlong Zhou Ivor Tsang Fang Chen 30 85 0 23 Jun 2021
No-frills Dynamic Planning using Static Planners Mara Levy Vasista Ayyagari Abhinav Shrivastava 15 0 0 17 Jun 2021
Automatic Curricula via Expert Demonstrations Siyu Dai Andreas G. Hofmann B. Williams 20 5 0 16 Jun 2021
Unbiased Methods for Multi-Goal Reinforcement Learning Léonard Blier Yann Ollivier OffRL 19 6 0 16 Jun 2021
Implicit Finite-Horizon Approximation and Efficient Optimal Algorithms for Stochastic Shortest Path Liyu Chen Mehdi Jafarnia-Jahromi R. Jain Haipeng Luo 24 25 0 15 Jun 2021
DAIR: Disentangled Attention Intrinsic Regularization for Safe and Efficient Bimanual Manipulation Minghao Zhang Pingcheng Jian Yi Wu Huazhe Xu Xiaolong Wang 21 9 0 10 Jun 2021
Simplifying Deep Reinforcement Learning via Self-Supervision Daochen Zha Kwei-Herng Lai Kaixiong Zhou Xia Hu SSL 51 15 0 10 Jun 2021
Reinforcement Learning for Industrial Control Network Cyber Security Orchestration John Mern Kyle Hatch Ryan Silva J. Brush Mykel J. Kochenderfer 14 4 0 09 Jun 2021
Self-Paced Context Evaluation for Contextual Reinforcement Learning Theresa Eimer André Biedenkapp Frank Hutter Marius Lindauer OffRL LRM 42 25 0 09 Jun 2021
Quickest change detection with unknown parameters: Constant complexity and near optimality Firas Jarboui Vianney Perchet 16 0 0 09 Jun 2021
Pretraining Representations for Data-Efficient Reinforcement Learning Max Schwarzer Nitarshan Rajkumar Michael Noukhovitch Ankesh Anand Laurent Charlin Devon Hjelm Philip Bachman Aaron Courville OffRL 47 114 0 09 Jun 2021
Hierarchical Robot Navigation in Novel Environments using Rough 2-D Maps Chengguang Xu Chris Amato Lawson L. S. Wong 28 6 0 07 Jun 2021
Causal Influence Detection for Improving Efficiency in Reinforcement Learning Maximilian Seitzer Bernhard Schölkopf Georg Martius CML 31 75 0 07 Jun 2021
DisTop: Discovering a Topological representation to learn diverse and rewarding skills A. Aubret L. Matignon S. Hassas 25 8 0 06 Jun 2021
Offline Reinforcement Learning as One Big Sequence Modeling Problem Michael Janner Qiyang Li Sergey Levine OffRL 71 651 0 03 Jun 2021
Hierarchical Representation Learning for Markov Decision Processes Lorenzo Steccanella Simone Totaro Anders Jonsson 28 4 0 03 Jun 2021
Robot in a China Shop: Using Reinforcement Learning for Location-Specific Navigation Behaviour Xihan Bian Oscar Alejandro Mendez Maldonado Simon Hadfield 14 3 0 02 Jun 2021
Variational Empowerment as Representation Learning for Goal-Based Reinforcement Learning Jongwook Choi Archit Sharma Honglak Lee Sergey Levine S. Gu DRL 25 21 0 02 Jun 2021
Deep Reinforcement Learning-based UAV Navigation and Control: A Soft Actor-Critic with Hindsight Experience Replay Approach Myoung-Hoon Lee Jun Moon 9 7 0 02 Jun 2021
High-Quality Diversification for Task-Oriented Dialogue Systems Zhiwen Tang Hrishikesh Kulkarni Grace Hui Yang 24 7 0 02 Jun 2021
Proving Equivalence Between Complex Expressions Using Graph-to-Sequence Neural Models Steven J Kommrusch Théo Barollet L. Pouchet 19 5 0 01 Jun 2021