Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation

20 April 2016

Papers citing "Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation"

50 / 129 papers shown

Title
Optimization of Infectious Disease Intervention Measures Based on Reinforcement Learning - Empirical analysis based on UK COVID-19 epidemic data Baida Zhang Yakai Chen Huichun Li Zhenghu Zu 24 0 0 07 May 2025
Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following Vivek Myers Bill Chunyuan Zheng Anca Dragan Kuan Fang Sergey Levine 65 0 0 08 Feb 2025
Extensive Exploration in Complex Traffic Scenarios using Hierarchical Reinforcement Learning Zhihao Zhang Ekim Yurtsever Keith A. Redmill 33 0 0 28 Jan 2025
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration Max Wilcoxson Qiyang Li Kevin Frans Sergey Levine SSL OffRL OnRL 57 0 0 23 Oct 2024
Coordinating Planning and Tracking in Layered Control Policies via Actor-Critic Learning Fengjun Yang Nikolai Matni OffRL 21 0 0 03 Aug 2024
LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning Hyungho Na IL-Chul Moon 41 1 0 30 May 2024
M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling Xudong Sun Nutan Chen Alexej Gossmann Yu Xing Carla Feistner ... Felix Drost Daniele Scarcella Lisa Beer Carsten Marr Carsten Marr 59 1 0 20 Mar 2024
Informativeness of Reward Functions in Reinforcement Learning R. Devidze Parameswaran Kamalaruban Adish Singla 21 2 0 10 Feb 2024
TopoNav: Topological Navigation for Efficient Exploration in Sparse Reward Environments Jumman Hossain A. Faridee Nirmalya Roy Jade Freeman Timothy Gregory Theron T. Trout 23 3 0 06 Feb 2024
Life-inspired Interoceptive Artificial Intelligence for Autonomous and Adaptive Agents Sungwoo Lee Younghyun Oh Hyunhoe An Hyebhin Yoon K. Friston Seok Jun Hong Choong-Wan Woo AI4CE 26 1 0 12 Sep 2023
Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning David Yunis Justin Jung Falcon Z. Dai Matthew R. Walter OffRL 35 0 0 08 Sep 2023
Intrinsically Motivated Hierarchical Policy Learning in Multi-objective Markov Decision Processes Sherif M. Abdelfattah K. Merrick Jiankun Hu 18 4 0 18 Aug 2023
Dyadic Reinforcement Learning Shuangning Li L. Niell S. Choi Inbal Nahum-Shani Guy Shani Susan Murphy OffRL 21 1 0 15 Aug 2023
Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning Wenhao Li Dan Qiao Baoxiang Wang Xiangfeng Wang Bo Jin H. Zha 29 5 0 18 May 2023
Multi-Agent Reinforcement Learning for Network Routing in Integrated Access Backhaul Networks Shahaf Yamin H. Permuter 13 3 0 12 May 2023
Learning Achievement Structure for Structured Exploration in Domains with Sparse Reward Zihan Zhou Animesh Garg OffRL 14 3 0 30 Apr 2023
CRISP: Curriculum inducing Primitive Informed Subgoal Prediction Utsav Singh Vinay P. Namboodiri 31 3 0 07 Apr 2023
The Emerging Artificial Intelligence Protocol for Hierarchical Information Network Caesar Wu Pascal Bouvry 8 0 0 19 Feb 2023
Intrinsic Motivation in Dynamical Control Systems Stas Tiomkin I. Nemenman Daniel Polani Naftali Tishby 18 4 0 29 Dec 2022
Planning Irregular Object Packing via Hierarchical Reinforcement Learning Sichao Huang Ziwei Wang Jie Zhou Jiwen Lu 18 18 0 17 Nov 2022
Knowledge-Guided Exploration in Deep Reinforcement Learning Sahisnu Mazumder Bing-Quan Liu Shuai Wang Yingxuan Zhu Xiaotian Yin Lifeng Liu Jian Li 38 4 0 26 Oct 2022
DANLI: Deliberative Agent for Following Natural Language Instructions Yichi Zhang Jianing Yang Jiayi Pan Shane Storks N. Devraj Ziqiao Ma Keunwoo Peter Yu Yuwei Bao J. Chai LM&Ro 50 16 0 22 Oct 2022
Flexible Attention-Based Multi-Policy Fusion for Efficient Deep Reinforcement Learning Zih-Yun Chiu Yi-Lin Tuan William Yang Wang Michael C. Yip OffRL 20 3 0 07 Oct 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
Graph-Structured Policy Learning for Multi-Goal Manipulation Tasks David M. Klee Ondrej Biza Robert W. Platt OffRL 19 1 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
Exploration in Deep Reinforcement Learning: A Survey Pawel Ladosz Lilian Weng Minwoo Kim H. Oh OffRL 23 322 0 02 May 2022
Graph Neural Network based Agent in Google Research Football Yizhan Niu Jinglong Liu Yuhao Shi Jiren Zhu GNN 19 2 0 23 Apr 2022
Joint Learning of Reward Machines and Policies in Environments with Partially Known Semantics Christos K. Verginis Cevahir Köprülü Sandeep P. Chinchali Ufuk Topcu 25 10 0 20 Apr 2022
Reinforcement Learning with Intrinsic Affinity for Personalized Prosperity Management Charl Maree C. Omlin 27 1 0 20 Apr 2022
Learning Design and Construction with Varying-Sized Materials via Prioritized Memory Resets Yunfei Li Tao Kong Lei Li Yi Wu 38 4 0 12 Apr 2022
DynLight: Realize dynamic phase duration with multi-level traffic signal control L. Zhang Shubin Xie J. Deng 30 0 0 07 Apr 2022
Hierarchical Reinforcement Learning under Mixed Observability Hai V. Nguyen Zhihan Yang Andrea Baisero Xiao Ma Robert W. Platt Chris Amato 10 4 0 02 Apr 2022
Asynchronous, Option-Based Multi-Agent Policy Gradient: A Conditional Reasoning Approach Xubo Lyu Amin Banitalebi-Dehkordi Mo Chen Yong Zhang 18 2 0 29 Mar 2022
Possibility Before Utility: Learning And Using Hierarchical Affordances Robby Costales Shariq Iqbal Fei Sha 16 5 0 23 Mar 2022
Explainability in reinforcement learning: perspective and position Agneza Krajna Mario Brčič T. Lipić Juraj Dončević 28 26 0 22 Mar 2022
Graph Neural Networks for Relational Inductive Bias in Vision-based Deep Reinforcement Learning of Robot Control Marco Oliva Soubarna Banik Josip Josifovski Alois C. Knoll 24 5 0 11 Mar 2022
SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement Learning A. Chester Michael Dann Fabio Zambetta John Thangarajah 8 0 0 09 Mar 2022
Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization Minghuan Liu Zhengbang Zhu Yuzheng Zhuang Weinan Zhang Jianye Hao Yong Yu J. Wang 19 11 0 04 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
Hierarchical Policy Learning for Mechanical Search Oussama Zenkri Ngo Anh Vien Gerhard Neumann 17 3 0 28 Feb 2022
Leveraging Queue Length and Attention Mechanisms for Enhanced Traffic Signal Control Optimization Liang Zhang Qiang Wu J. Deng 14 7 0 30 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 33 4 0 14 Dec 2021
LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning D. Mguni Taher Jafferjee Jianhong Wang Oliver Slumbers Nicolas Perez Nieves Feifei Tong Yang Li Jiangcheng Zhu Yaodong Yang Jun Wang 29 18 0 05 Dec 2021
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning Dhruv Shah Peng-Tao Xu Yao Lu Ted Xiao Alexander Toshev Sergey Levine Brian Ichter OffRL 26 41 0 04 Nov 2021
TRAIL: Near-Optimal Imitation Learning with Suboptimal Data Mengjiao Yang Sergey Levine Ofir Nachum OffRL 27 41 0 27 Oct 2021
ViDA-MAN: Visual Dialog with Digital Humans T. Shen Jiawei Zuo Fan Shi Jin Zhang Liqin Jiang Meng Chen Zhengchen Zhang Wei Zhang Xiaodong He Tao Mei 11 6 0 26 Oct 2021
Deep Reinforcement Learning for Simultaneous Sensing and Channel Access in Cognitive Networks Yoel Bokobza R. Dabora Kobi Cohen 23 13 0 24 Oct 2021
A Framework for Learning to Request Rich and Contextually Useful Information from Humans Khanh Nguyen Yonatan Bisk Hal Daumé 33 16 0 14 Oct 2021
Training Transition Policies via Distribution Matching for Complex Tasks Ju-Seung Byun Andrew Perrault 13 6 0 08 Oct 2021