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 / 157 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 35 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 31 0 0 03 Aug 2024
LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning Hyungho Na IL-Chul Moon 43 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 29 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 31 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 28 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 41 0 0 08 Sep 2023
Intrinsically Motivated Hierarchical Policy Learning in Multi-objective Markov Decision Processes Sherif M. Abdelfattah K. Merrick Jiankun Hu 28 4 0 18 Aug 2023
Dyadic Reinforcement Learning Shuangning Li L. Niell S. Choi Inbal Nahum-Shani Guy Shani Susan Murphy OffRL 23 1 0 15 Aug 2023
Hierarchical Task Network Planning for Facilitating Cooperative Multi-Agent Reinforcement Learning Xuechen Mu H. Zhuo Cheng Chen Kai Zhang Chao Yu Jianye Hao 35 1 0 14 Jun 2023
Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning Wenhao Li Dan Qiao Baoxiang Wang Xiangfeng Wang Bo Jin H. Zha 38 5 0 18 May 2023
Multi-Agent Reinforcement Learning for Network Routing in Integrated Access Backhaul Networks Shahaf Yamin Haim Permuter 18 3 0 12 May 2023
Learning Achievement Structure for Structured Exploration in Domains with Sparse Reward Zihan Zhou Animesh Garg OffRL 22 3 0 30 Apr 2023
CRISP: Curriculum inducing Primitive Informed Subgoal Prediction Utsav Singh Vinay P. Namboodiri 31 3 0 07 Apr 2023
Modular Deep Learning Jonas Pfeiffer Sebastian Ruder Ivan Vulić E. Ponti MoMe OOD 32 73 0 22 Feb 2023
The Emerging Artificial Intelligence Protocol for Hierarchical Information Network Caesar Wu Pascal Bouvry 13 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 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
Hierarchical Deep Reinforcement Learning for VWAP Strategy Optimization Xiaodong Li Pangjing Wu Chenxin Zou Qing Li 27 3 0 11 Dec 2022
Planning Irregular Object Packing via Hierarchical Reinforcement Learning Sichao Huang Ziwei Wang Jie Zhou Jiwen Lu 18 18 0 17 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
Knowledge-Guided Exploration in Deep Reinforcement Learning Sahisnu Mazumder Bing-Quan Liu Shuai Wang Yingxuan Zhu Xiaotian Yin Lifeng Liu Jian Li 43 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 55 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 25 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 27 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
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer Jeewon Jeon Woojun Kim Whiyoung Jung Young-Jin Sung 29 35 0 20 Jun 2022
A Mixture-of-Expert Approach to RL-based Dialogue Management Yinlam Chow Azamat Tulepbergenov Ofir Nachum Moonkyung Ryu Mohammad Ghavamzadeh Craig Boutilier MoE 19 14 0 31 May 2022
Exploration in Deep Reinforcement Learning: A Survey Pawel Ladosz Lilian Weng Minwoo Kim H. Oh OffRL 23 324 0 02 May 2022
Graph Neural Network based Agent in Google Research Football Yizhan Niu Jinglong Liu Yuhao Shi Jiren Zhu GNN 27 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 30 10 0 20 Apr 2022
Reinforcement Learning with Intrinsic Affinity for Personalized Prosperity Management Charl Maree C. Omlin 35 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 43 4 0 12 Apr 2022
DynLight: Realize dynamic phase duration with multi-level traffic signal control Li Zhang Shubin Xie J. Deng 35 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 22 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 32 2 0 29 Mar 2022
Possibility Before Utility: Learning And Using Hierarchical Affordances Robby Costales Shariq Iqbal Fei Sha 26 5 0 23 Mar 2022
Explainability in reinforcement learning: perspective and position Agneza Krajna Mario Brčič T. Lipić Juraj Dončević 31 27 0 22 Mar 2022
AI Autonomy : Self-Initiated Open-World Continual Learning and Adaptation Bing-Quan Liu Sahisnu Mazumder Eric Robertson Scott Grigsby CLL AI4CE 35 21 0 17 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 Knoll 26 5 0 11 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
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 Jun Wang 29 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 27 3 0 28 Feb 2022
Leveraging Queue Length and Attention Mechanisms for Enhanced Traffic Signal Control Optimization Liang Zhang Qiang Wu J. Deng 24 7 0 30 Dec 2021