Data-Efficient Hierarchical Reinforcement Learning

21 May 2018

Papers citing "Data-Efficient Hierarchical Reinforcement Learning"

50 / 447 papers shown

Title
Learning Diverse Policies in MOBA Games via Macro-Goals Yiming Gao Bei Shi Xueying Du Liang Wang Guangwei Chen ... Weixuan Wang Deheng Ye Qiang Fu Wei Yang Lanxiao Huang 29 10 0 27 Oct 2021
Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning Junsup Kim Younggyo Seo Jinwoo Shin 20 58 0 26 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 43 0 0 13 Oct 2021
Braxlines: Fast and Interactive Toolkit for RL-driven Behavior Engineering beyond Reward Maximization S. Gu Manfred Diaz Daniel Freeman Hiroki Furuta Seyed Kamyar Seyed Ghasemipour Anton Raichuk Byron David Erik Frey Erwin Coumans Olivier Bachem 44 14 0 10 Oct 2021
Training Transition Policies via Distribution Matching for Complex Tasks Ju-Seung Byun Andrew Perrault 13 6 0 08 Oct 2021
Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks Soroush Nasiriany Huihan Liu Yuke Zhu 82 109 0 07 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
Hierarchies of Planning and Reinforcement Learning for Robot Navigation J. Wöhlke Felix Schmitt H. V. Hoof 26 23 0 23 Sep 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 45 24 0 21 Sep 2021
Generalization in Text-based Games via Hierarchical Reinforcement Learning Yunqiu Xu Meng Fang Ling Chen Yali Du Chengqi Zhang AI4CE 45 20 0 21 Sep 2021
Density-based Curriculum for Multi-goal Reinforcement Learning with Sparse Rewards Deyu Yang Hanbo Zhang Xuguang Lan Jishiyu Ding OffRL 35 2 0 18 Sep 2021
Self-supervised Reinforcement Learning with Independently Controllable Subgoals Andrii Zadaianchuk Georg Martius Fanny Yang SSL 69 16 0 09 Sep 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
HAC Explore: Accelerating Exploration with Hierarchical Reinforcement Learning Willie McClinton Andrew Levy George Konidaris 23 5 0 12 Aug 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
Motion Planning by Learning the Solution Manifold in Trajectory Optimization Takayuki Osa 17 22 0 13 Jul 2021
Recent Advances in Leveraging Human Guidance for Sequential Decision-Making Tasks Ruohan Zhang F. Torabi Garrett A. Warnell Peter Stone 83 28 0 13 Jul 2021
Hierarchical Neural Dynamic Policies Shikhar Bahl Abhinav Gupta Deepak Pathak BDL 33 27 0 12 Jul 2021
Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing Kaixin Wang Kuangqi Zhou Qixin Zhang Jie Shao Bryan Hooi Jiashi Feng 47 19 0 12 Jul 2021
Towards Autonomous Pipeline Inspection with Hierarchical Reinforcement Learning N. Botteghi L.J.L. Grefte M. Poel B. Sirmaçek C. Brune Edwin Dertien Stefano Stramigioli 27 4 0 08 Jul 2021
Hierarchical Policies for Cluttered-Scene Grasping with Latent Plans Lirui Wang Xiangyun Meng Yu Xiang Dieter Fox 3DPC DRL 21 27 0 04 Jul 2021
Goal-Conditioned Reinforcement Learning with Imagined Subgoals Elliot Chane-Sane Cordelia Schmid Ivan Laptev 30 140 0 01 Jul 2021
Interviewer-Candidate Role Play: Towards Developing Real-World NLP Systems Neeraj Varshney Swaroop Mishra Chitta Baral 14 0 0 01 Jul 2021
The Values Encoded in Machine Learning Research Abeba Birhane Pratyusha Kalluri Dallas Card William Agnew Ravit Dotan Michelle Bao 41 275 0 29 Jun 2021
Unsupervised Skill Discovery with Bottleneck Option Learning Jaekyeom Kim Seohong Park Gunhee Kim 32 32 0 27 Jun 2021
Core Challenges in Embodied Vision-Language Planning Jonathan M Francis Nariaki Kitamura Felix Labelle Xiaopeng Lu Ingrid Navarro Jean Oh LM&Ro 51 45 0 26 Jun 2021
Hierarchically Integrated Models: Learning to Navigate from Heterogeneous Robots Katie Kang G. Kahn Sergey Levine 37 5 0 24 Jun 2021
Towards Exploiting Geometry and Time for Fast Off-Distribution Adaptation in Multi-Task Robot Learning K.R. Zentner Ryan Julian Ujjwal Puri Yulun Zhang Gaurav Sukhatme 16 0 0 24 Jun 2021
Adversarial Option-Aware Hierarchical Imitation Learning Mingxuan Jing Wenbing Huang F. Sun Xiaojian Ma Tao Kong Chuang Gan Lei Li GAN 25 23 0 10 Jun 2021
Verifiable and Compositional Reinforcement Learning Systems Cyrus Neary Christos K. Verginis Murat Cubuktepe Ufuk Topcu CoGe OffRL 17 16 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
Efficient Continuous Control with Double Actors and Regularized Critics Jiafei Lyu Xiaoteng Ma Jiangpeng Yan Xiu Li OffRL 19 48 0 06 Jun 2021
Hierarchical Representation Learning for Markov Decision Processes Lorenzo Steccanella Simone Totaro Anders Jonsson 28 4 0 03 Jun 2021
What Can I Do Here? Learning New Skills by Imagining Visual Affordances Alexander Khazatsky Ashvin Nair Dan Jing Sergey Levine LM&Ro 9 33 0 01 Jun 2021
Reducing the Deployment-Time Inference Control Costs of Deep Reinforcement Learning Agents via an Asymmetric Architecture Chin-Jui Chang Yu-Wei Chu Chao-Hsien Ting Hao-Kang Liu Zhang-Wei Hong Chun-Yi Lee AI4CE 23 1 0 30 May 2021
From Motor Control to Team Play in Simulated Humanoid Football Siqi Liu Guy Lever Zhe Wang J. Merel S. M. Ali Eslami ... Tuomas Haarnoja Brendan D. Tracey K. Tuyls T. Graepel N. Heess 31 130 0 25 May 2021
Data-Driven Strategies for Hierarchical Predictive Control in Unknown Environments Charlott Vallon Francesco Borrelli 11 14 0 13 May 2021
Scalable, Decentralized Multi-Agent Reinforcement Learning Methods Inspired by Stigmergy and Ant Colonies Austin Nguyen 19 0 0 08 May 2021
Hierarchical Reinforcement Learning for Air-to-Air Combat Adrian P. Pope J. Ide Daria Mićović Henry Diaz D. Rosenbluth Lee Ritholtz Jason C. Twedt Thayne T. Walker K. Alcedo D. Javorsek 19 72 0 03 May 2021
DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies Soroush Nasiriany Vitchyr H. Pong Ashvin Nair Alexander Khazatsky Glen Berseth Sergey Levine OffRL 66 14 0 23 Apr 2021
Outcome-Driven Reinforcement Learning via Variational Inference Tim G. J. Rudner Vitchyr H. Pong R. McAllister Y. Gal Sergey Levine 34 20 0 20 Apr 2021
Action Advising with Advice Imitation in Deep Reinforcement Learning Ercüment Ilhan Jeremy Gow Diego Perez-Liebana 20 11 0 17 Apr 2021
TAAC: Temporally Abstract Actor-Critic for Continuous Control Haonan Yu Wei Xu Haichao Zhang OffRL 21 21 0 13 Apr 2021
Bi-level Off-policy Reinforcement Learning for Volt/VAR Control Involving Continuous and Discrete Devices Haotian Liu Wenchuan Wu OffRL 18 6 0 13 Apr 2021
FaiR-IoT: Fairness-aware Human-in-the-Loop Reinforcement Learning for Harnessing Human Variability in Personalized IoT Salma Elmalaki 11 32 0 30 Mar 2021
Online Baum-Welch algorithm for Hierarchical Imitation Learning Vittorio Giammarino I. Paschalidis OffRL 22 2 0 22 Mar 2021
Learning Task Decomposition with Ordered Memory Policy Network Yucheng Lu Songlin Yang Siyuan Zhou Aaron Courville J. Tenenbaum Chuang Gan 19 15 0 19 Mar 2021