Data-Efficient Hierarchical Reinforcement Learning

21 May 2018

Papers citing "Data-Efficient Hierarchical Reinforcement Learning"

50 / 161 papers shown

Title
Control Transformer: Robot Navigation in Unknown Environments through PRM-Guided Return-Conditioned Sequence Modeling Daniel Lawson A. H. Qureshi 24 7 0 11 Nov 2022
Emergency action termination for immediate reaction in hierarchical reinforcement learning Michal Bortkiewicz Jakub Lyskawa Pawel Wawrzyñski M. Ostaszewski Artur Grudkowski Tomasz Trzciñski 16 0 0 11 Nov 2022
Discrete Factorial Representations as an Abstraction for Goal Conditioned Reinforcement Learning Riashat Islam Hongyu Zang Anirudh Goyal Alex Lamb Kenji Kawaguchi Xin-hui Li Romain Laroche Yoshua Bengio Rémi Tachet des Combes OffRL AI4CE 23 9 0 01 Nov 2022
Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for Industrial Insertion of Novel Connectors from Vision Ashvin Nair Brian Zhu Gokul Narayanan Eugen Solowjow Sergey Levine OffRL OnRL 28 14 0 27 Oct 2022
Local Connection Reinforcement Learning Method for Efficient Control of Robotic Peg-in-Hole Assembly Yuhang Gai Jiwen Zhang Dan Wu Ken Chen OffRL 29 1 0 24 Oct 2022
LEAGUE: Guided Skill Learning and Abstraction for Long-Horizon Manipulation Shuo Cheng Danfei Xu 54 37 0 23 Oct 2022
From Play to Policy: Conditional Behavior Generation from Uncurated Robot Data Zichen Jeff Cui Yibin Wang Nur Muhammad (Mahi) Shafiullah Lerrel Pinto LM&Ro VGen OffRL 27 89 0 18 Oct 2022
Online Damage Recovery for Physical Robots with Hierarchical Quality-Diversity Maxime Allard Simón C. Smith Konstantinos Chatzilygeroudis Bryan Lim Antoine Cully 19 13 0 18 Oct 2022
Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization Stone Tao Xiaochen Li Tongzhou Mu Zhiao Huang Yuzhe Qin Hao Su 22 3 0 14 Oct 2022
Query The Agent: Improving sample efficiency through epistemic uncertainty estimation Julian Alverio Boris Katz Andrei Barbu 32 0 0 05 Oct 2022
Latent Plans for Task-Agnostic Offline Reinforcement Learning Erick Rosete-Beas Oier Mees Gabriel Kalweit Joschka Boedecker Wolfram Burgard OffRL 30 81 0 19 Sep 2022
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey A. Aubret L. Matignon S. Hassas 34 35 0 19 Sep 2022
Categorical semantics of compositional reinforcement learning Georgios Bakirtzis M. Savvas Ufuk Topcu CoGe 40 4 0 29 Aug 2022
Spectral Decomposition Representation for Reinforcement Learning Tongzheng Ren Tianjun Zhang Lisa Lee Joseph E. Gonzalez Dale Schuurmans Bo Dai OffRL 40 27 0 19 Aug 2022
Mixed-Precision Neural Networks: A Survey M. Rakka M. Fouda Pramod P. Khargonekar Fadi J. Kurdahi MQ 25 11 0 11 Aug 2022
Robust Knowledge Adaptation for Dynamic Graph Neural Networks Han Li Changsheng Li Kaituo Feng Ye Yuan Guoren Wang H. Zha 29 13 0 22 Jul 2022
Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning Yunfei Li Tian Gao Jiaqi Yang Huazhe Xu Yi Wu OffRL 19 22 0 24 Jun 2022
Learning Neuro-Symbolic Skills for Bilevel Planning Tom Silver Ashay Athalye J. Tenenbaum Tomas Lozano-Perez L. Kaelbling 37 59 0 21 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning Benjamin Eysenbach Tianjun Zhang Ruslan Salakhutdinov Sergey Levine SSL OffRL 25 139 0 15 Jun 2022
Meta-Learning Parameterized Skills Haotian Fu Shangqun Yu Saket Tiwari Michael Littman George Konidaris 35 6 0 07 Jun 2022
Non-Markovian policies occupancy measures Romain Laroche Rémi Tachet des Combes Jacob Buckman OffRL 31 1 0 27 May 2022
Generalizing to New Tasks via One-Shot Compositional Subgoals Xihan Bian Oscar Alejandro Mendez Maldonado Simon Hadfield CLL OffRL 32 1 0 16 May 2022
Data-driven control of spatiotemporal chaos with reduced-order neural ODE-based models and reinforcement learning Kevin Zeng Alec J. Linot M. Graham AI4CE 22 28 0 01 May 2022
Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning Philippe Hansen-Estruch Amy Zhang Ashvin Nair Patrick Yin Sergey Levine AI4CE 26 27 0 27 Apr 2022
Safer Autonomous Driving in a Stochastic, Partially-Observable Environment by Hierarchical Contingency Planning Ugo Lecerf Christelle Yemdji Tchassi Pietro Michiardi 30 1 0 13 Apr 2022
Reinforcement learning on graphs: A survey Mingshuo Nie Dongming Chen Dongqi Wang 33 45 0 13 Apr 2022
Hierarchical Quality-Diversity for Online Damage Recovery Maxime Allard Simón C. Smith Konstantinos Chatzilygeroudis Antoine Cully 17 12 0 12 Apr 2022
Learning Design and Construction with Varying-Sized Materials via Prioritized Memory Resets Yunfei Li Tao Kong Lei Li Yi Wu 43 4 0 12 Apr 2022
Hierarchical Reinforcement Learning under Mixed Observability Hai V. Nguyen Zhihan Yang Andrea Baisero Xiao Ma Robert W. Platt Chris Amato 19 4 0 02 Apr 2022
Demonstration-Bootstrapped Autonomous Practicing via Multi-Task Reinforcement Learning Abhishek Gupta Corey Lynch Brandon Kinman Garrett Peake Sergey Levine Karol Hausman OffRL 19 17 0 29 Mar 2022
Policy Architectures for Compositional Generalization in Control Allan Zhou Vikash Kumar Chelsea Finn Aravind Rajeswaran 20 22 0 10 Mar 2022
SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement Learning A. Chester Michael Dann Fabio Zambetta John Thangarajah 11 0 0 09 Mar 2022
A Versatile Agent for Fast Learning from Human Instructors Yiwen Chen Zedong Zhang Hao-Kang Liu Jiayi Tan C. Chew Marcelo H ANG Jr 12 0 0 01 Mar 2022
SAFER: Data-Efficient and Safe Reinforcement Learning via Skill Acquisition Dylan Slack Yinlam Chow Bo Dai Nevan Wichers OffRL 24 7 0 10 Feb 2022
ASHA: Assistive Teleoperation via Human-in-the-Loop Reinforcement Learning S. Chen Jensen Gao S. Reddy Glen Berseth Anca Dragan Sergey Levine OffRL 30 11 0 05 Feb 2022
Learning Interpretable, High-Performing Policies for Autonomous Driving Rohan R. Paleja Yaru Niu Andrew Silva Chace Ritchie Sugju Choi Matthew C. Gombolay 21 16 0 04 Feb 2022
Learning Two-Step Hybrid Policy for Graph-Based Interpretable Reinforcement Learning Tongzhou Mu Kaixiang Lin Fei Niu Govind Thattai OffRL 25 0 0 21 Jan 2022
Learning from Guided Play: A Scheduled Hierarchical Approach for Improving Exploration in Adversarial Imitation Learning Trevor Ablett Bryan Chan Jonathan Kelly 16 4 0 16 Dec 2021
Learning to Guide and to Be Guided in the Architect-Builder Problem Paul Barde Tristan Karch Derek Nowrouzezahrai Clément Moulin-Frier C. Pal Pierre-Yves Oudeyer 41 4 0 14 Dec 2021
Guided Imitation of Task and Motion Planning M. McDonald Dylan Hadfield-Menell 77 20 0 06 Dec 2021
Flexible Option Learning Martin Klissarov Doina Precup OffRL 41 26 0 06 Dec 2021
Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives Murtaza Dalal Deepak Pathak Ruslan Salakhutdinov 29 90 0 28 Oct 2021
TRAIL: Near-Optimal Imitation Learning with Suboptimal Data Mengjiao Yang Sergey Levine Ofir Nachum OffRL 41 42 0 27 Oct 2021
Hierarchical Skills for Efficient Exploration Jonas Gehring Gabriel Synnaeve Andreas Krause Nicolas Usunier 28 40 0 20 Oct 2021
Provable Hierarchy-Based Meta-Reinforcement Learning Kurtland Chua Qi Lei Jason D. Lee 22 5 0 18 Oct 2021
HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism Zhiwei Xu Yunpeng Bai Bin Zhang Dapeng Li Guoliang Fan 22 23 0 14 Oct 2021
Feudal Reinforcement Learning by Reading Manuals Kai Wang Zhonghao Wang Mo Yu Humphrey Shi OffRL 32 0 0 13 Oct 2021
Training Transition Policies via Distribution Matching for Complex Tasks Ju-Seung Byun Andrew Perrault 13 6 0 08 Oct 2021
Hierarchical Primitive Composition: Simultaneous Activation of Skills with Inconsistent Action Dimensions in Multiple Hierarchies Jeong-Hoon Lee Jongeun Choi 26 8 0 05 Oct 2021
Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks Bohan Wu Suraj Nair Li Fei-Fei Chelsea Finn OffRL LM&Ro 38 24 0 21 Sep 2021