Data-Efficient Hierarchical Reinforcement Learning

21 May 2018

Papers citing "Data-Efficient Hierarchical Reinforcement Learning"

50 / 446 papers shown

Title
Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model Zhihai Wang Xijun Li Jie Wang Yufei Kuang M. Yuan Jianguo Zeng Yongdong Zhang Feng Wu 34 40 0 01 Feb 2023
A Survey of Meta-Reinforcement Learning Jacob Beck Risto Vuorio E. Liu Zheng Xiong L. Zintgraf Chelsea Finn Shimon Whiteson OOD OffRL 37 124 0 19 Jan 2023
A Constrained-Optimization Approach to the Execution of Prioritized Stacks of Learned Multi-Robot Tasks Gennaro Notomista 33 2 0 13 Jan 2023
SHIRO: Soft Hierarchical Reinforcement Learning Kandai Watanabe Mathew Strong Omer Eldar 24 1 0 24 Dec 2022
Reusable Options through Gradient-based Meta Learning David Kuric H. V. Hoof 34 0 0 22 Dec 2022
Dexterous Manipulation from Images: Autonomous Real-World RL via Substep Guidance Kelvin Xu Zheyuan Hu Ria Doshi Aaron Rovinsky Vikash Kumar Abhishek Gupta Sergey Levine 32 19 0 19 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
Cross-Domain Transfer via Semantic Skill Imitation Karl Pertsch Ruta Desai Vikash Kumar Franziska Meier Joseph J. Lim Dhruv Batra Akshara Rai LM&Ro 16 18 0 14 Dec 2022
Hierarchical Deep Reinforcement Learning for VWAP Strategy Optimization Xiaodong Li Pangjing Wu Chenxin Zou Qing Li 27 3 0 11 Dec 2022
Learning Options via Compression Yiding Jiang E. Liu Benjamin Eysenbach Zico Kolter Chelsea Finn OffRL 25 13 0 08 Dec 2022
EASpace: Enhanced Action Space for Policy Transfer Zheng-Wei Zhang Qingrui Zhang Bo Zhu Xiaohan Wang Tianjiang Hu 24 0 0 07 Dec 2022
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance C. Chang Ni Mu Jiajun Wu Ling Pan Huazhe Xu 50 7 0 05 Dec 2022
Planning Irregular Object Packing via Hierarchical Reinforcement Learning Sichao Huang Ziwei Wang Jie Zhou Jiwen Lu 18 19 0 17 Nov 2022
Control Transformer: Robot Navigation in Unknown Environments through PRM-Guided Return-Conditioned Sequence Modeling Daniel Lawson A. H. Qureshi 24 8 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 24 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
Language Control Diffusion: Efficiently Scaling through Space, Time, and Tasks Edwin Zhang Yujie Lu William Wang Amy Zhang DiffM LM&Ro 32 16 0 27 Oct 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 15 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 32 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
STAP: Sequencing Task-Agnostic Policies Christopher Agia Toki Migimatsu Jiajun Wu Jeannette Bohg 43 19 0 21 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 32 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 27 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 27 3 0 14 Oct 2022
Skill-Based Reinforcement Learning with Intrinsic Reward Matching Ademi Adeniji Amber Xie Pieter Abbeel OffRL 25 5 0 14 Oct 2022
Causality-driven Hierarchical Structure Discovery for Reinforcement Learning Shaohui Peng Xin Hu Rui Zhang Ke Tang Jiaming Guo ... Xishan Zhang Zidong Du Ling Li Qi Guo Yunji Chen 21 22 0 13 Oct 2022
Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL Chen Sun Wannan Yang Thomas Jiralerspong Dane Malenfant Benjamin Alsbury-Nealy Yoshua Bengio Blake A. Richards OffRL 22 2 0 12 Oct 2022
DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning Seungjae Lee Jigang Kim Inkyu Jang H. J. Kim OffRL 30 10 0 11 Oct 2022
Query The Agent: Improving sample efficiency through epistemic uncertainty estimation Julian Alverio Boris Katz Andrei Barbu 35 0 0 05 Oct 2022
Multi-Task Option Learning and Discovery for Stochastic Path Planning Naman Shah Siddharth Srivastava 21 2 0 30 Sep 2022
Hierarchical Decision Transformer André Rosa de Sousa Porfírio Correia L. A. Alexandre OffRL 98 10 0 21 Sep 2022
Goal-Aware Generative Adversarial Imitation Learning from Imperfect Demonstration for Robotic Cloth Manipulation Yoshihisa Tsurumine Takamitsu Matsubara 35 13 0 21 Sep 2022
Latent Plans for Task-Agnostic Offline Reinforcement Learning Erick Rosete-Beas Oier Mees Gabriel Kalweit Joschka Boedecker Wolfram Burgard OffRL 44 81 0 19 Sep 2022
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey A. Aubret L. Matignon S. Hassas 37 35 0 19 Sep 2022
Causal Coupled Mechanisms: A Control Method with Cooperation and Competition for Complex System Xuehui Yu Jingchi Jiang Xinmiao Yu Yi Guan Xue Li 14 0 0 15 Sep 2022
MO2: Model-Based Offline Options Sasha Salter Markus Wulfmeier Dhruva Tirumala N. Heess Martin Riedmiller R. Hadsell Dushyant Rao OffRL 23 13 0 05 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
MARTI-4: new model of human brain, considering neocortex and basal ganglia -- learns to play Atari game by reinforcement learning on a single CPU I. Pivovarov S. Shumsky 14 0 0 18 Aug 2022
Intelligent problem-solving as integrated hierarchical reinforcement learning Manfred Eppe Christian Gumbsch Matthias Kerzel Phuong D. H. Nguyen Martin Volker Butz S. Wermter 31 75 0 18 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
From Scratch to Sketch: Deep Decoupled Hierarchical Reinforcement Learning for Robotic Sketching Agent Ganghun Lee Minji Kim M. Lee Byoung-Tak Zhang 22 9 0 09 Aug 2022
DL-DRL: A double-level deep reinforcement learning approach for large-scale task scheduling of multi-UAV Xiao Mao Zhiguang Cao Mingfeng Fan Guohua Wu Witold Pedrycz 16 20 0 04 Aug 2022
Robust Knowledge Adaptation for Dynamic Graph Neural Networks Han Li Changsheng Li Kaituo Feng Ye Yuan Guoren Wang H. Zha 34 13 0 22 Jul 2022
Skill-based Model-based Reinforcement Learning Lu Shi Joseph J. Lim Youngwoon Lee 32 45 0 15 Jul 2022
Learning Temporally Extended Skills in Continuous Domains as Symbolic Actions for Planning Jan Achterhold Markus Krimmel Joerg Stueckler 35 9 0 11 Jul 2022
Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning Yunfei Li Tian Gao Jiaqi Yang Huazhe Xu Yi Wu OffRL 31 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 37 140 0 15 Jun 2022
Value Memory Graph: A Graph-Structured World Model for Offline Reinforcement Learning Deyao Zhu Erran L. Li Mohamed Elhoseiny OffRL 40 8 0 09 Jun 2022