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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 / 493 papers shown

Title
Using General Value Functions to Learn Domain-Backed Inventory Management Policies Durgesh Kalwar Omkar Shelke H. Khadilkar 134 0 0 03 Nov 2023
Unleashing the Creative Mind: Language Model As Hierarchical Policy For Improved Exploration on Challenging Problem Solving Z. Ling Yunhao Fang Xuanlin Li Tongzhou Mu Mingu Lee Reza Pourreza Roland Memisevic Hao Su LRM 93 4 0 01 Nov 2023
Progressively Efficient Learning Ruijie Zheng Khanh Nguyen Hal Daumé Furong Huang Karthik Narasimhan 79 1 0 13 Oct 2023
Deep Reinforcement Learning for Autonomous Cyber Operations: A Survey Gregory Palmer Chris Parry Daniel J.B. Harrold Chris Willis AI4CE 86 2 0 11 Oct 2023
Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning Mingde Zhao Safa Alver H. V. Seijen Romain Laroche Doina Precup Yoshua Bengio 57 3 0 30 Sep 2023
Goal Space Abstraction in Hierarchical Reinforcement Learning via Set-Based Reachability Analysis Mehdi Zadem Sergio Mover S. Nguyen 45 5 0 14 Sep 2023
Goal Space Abstraction in Hierarchical Reinforcement Learning via Reachability Analysis Mehdi Zadem Sergio Mover S. Nguyen 50 1 0 12 Sep 2023
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 110 1 0 12 Sep 2023
Verifiable Reinforcement Learning Systems via Compositionality Cyrus Neary Aryaman Singh Samyal Christos K. Verginis Murat Cubuktepe Ufuk Topcu OffRL CoGe 37 1 0 09 Sep 2023
Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning David Yunis Justin Jung Falcon Z. Dai Matthew R. Walter OffRL 88 0 0 08 Sep 2023
Compositional Learning of Visually-Grounded Concepts Using Reinforcement Zijun Lin Haidi Azaman M Ganesh Kumar Cheston Tan CoGe OffRL 74 3 0 08 Sep 2023
Sequential Dexterity: Chaining Dexterous Policies for Long-Horizon Manipulation Yuanpei Chen Chen Wang Fei-Fei Li Chenxi Liu 93 42 0 02 Sep 2023
Intrinsically Motivated Hierarchical Policy Learning in Multi-objective Markov Decision Processes Sherif M. Abdelfattah K. Merrick Jiankun Hu 45 4 0 18 Aug 2023
Dyadic Reinforcement Learning Shuangning Li L. Niell S. Choi Inbal Nahum-Shani Guy Shani Susan Murphy OffRL 65 2 0 15 Aug 2023
Balancing Exploration and Exploitation in Hierarchical Reinforcement Learning via Latent Landmark Graphs Qingyang Zhang Yiming Yang Jingqing Ruan Xuantang Xiong Dengpeng Xing Bo Xu 56 1 0 22 Jul 2023
HIQL: Offline Goal-Conditioned RL with Latent States as Actions Seohong Park Dibya Ghosh Benjamin Eysenbach Sergey Levine OffRL 128 61 0 22 Jul 2023
Reparameterized Policy Learning for Multimodal Trajectory Optimization Zhiao Huang Litian Liang Z. Ling Xuanlin Li Chuang Gan H. Su 110 11 0 20 Jul 2023
Landmark Guided Active Exploration with State-specific Balance Coefficient Fei Cui Jiaojiao Fang Mengke Yang Guizhong Liu 63 0 0 30 Jun 2023
Learning from Pixels with Expert Observations M. Hoang Long Dinh Hai V. Nguyen OffRL 113 2 0 24 Jun 2023
Int-HRL: Towards Intention-based Hierarchical Reinforcement Learning Anna Penzkofer Simon Schaefer Florian Strohm Mihai Bâce Stefan Leutenegger Andreas Bulling 46 1 0 20 Jun 2023
Automatic Deduction Path Learning via Reinforcement Learning with Environmental Correction Shuai Xiao Chen Pan Min Wang Xinxin Zhu Siqiao Xue Jing Wang Yun Hu James Y. Zhang Jinghua Feng OffRL 71 2 0 16 Jun 2023
Hierarchical Task Network Planning for Facilitating Cooperative Multi-Agent Reinforcement Learning Xuechen Mu H. Zhuo Chong Chen Kai Zhang Chao Yu Jianye Hao 82 1 0 14 Jun 2023
Decision Stacks: Flexible Reinforcement Learning via Modular Generative Models Siyan Zhao Aditya Grover OffRL 81 7 0 09 Jun 2023
Hierarchical Reinforcement Learning for Modeling User Novelty-Seeking Intent in Recommender Systems Pan Li Yuyan Wang Ed H. Chi Minmin Chen 40 2 0 02 Jun 2023
Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning Wenhao Li Dan Qiao Baoxiang Wang Xiangfeng Wang Bo Jin H. Zha 86 6 0 18 May 2023
Multi-Agent Reinforcement Learning for Network Routing in Integrated Access Backhaul Networks Shahaf Yamin Haim Permuter 77 3 0 12 May 2023
Anticipatory Planning: Improving Long-Lived Planning by Estimating Expected Cost of Future Tasks Roshan Dhakal Md Ridwan Hossain Talukder Gregory J. Stein 55 3 0 08 May 2023
Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models Daochen Zha Louis Feng Liangchen Luo Bhargav Bhushanam Zirui Liu ... J. McMahon Yuzhen Huang Bryan Clarke A. Kejariwal Helen Zhou 115 7 0 03 May 2023
Learning Achievement Structure for Structured Exploration in Domains with Sparse Reward Zihan Zhou Animesh Garg OffRL 100 4 0 30 Apr 2023
CRISP: Curriculum inducing Primitive Informed Subgoal Prediction Utsav Singh Vinay P. Namboodiri 88 3 0 07 Apr 2023
DataLight: Offline Data-Driven Traffic Signal Control Li Zhang Yutong Zhang J. Deng Chen Li OffRL 65 0 0 20 Mar 2023
Modular Deep Learning Jonas Pfeiffer Sebastian Ruder Ivan Vulić Edoardo Ponti MoMe OOD 159 80 0 22 Feb 2023
Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning Yu Lu Arunesh Sinha Pradeep Varakantham 68 0 0 21 Feb 2023
The Emerging Artificial Intelligence Protocol for Hierarchical Information Network Caesar Wu Pascal Bouvry 22 0 0 19 Feb 2023
Learning Graph-Enhanced Commander-Executor for Multi-Agent Navigation Xinyi Yang Shiyu Huang Yiwen Sun Yuxiang Yang Chao Yu Weijuan Tu Huazhong Yang Yu Wang 51 7 0 08 Feb 2023
Robust Subtask Learning for Compositional Generalization Kishor Jothimurugan Steve Hsu Osbert Bastani Rajeev Alur OffRL 71 5 0 06 Feb 2023
Collaborating with language models for embodied reasoning Ishita Dasgupta Christine Kaeser-Chen Kenneth Marino Arun Ahuja Sheila Babayan Felix Hill Rob Fergus LLMAG LM&Ro LRM 55 69 0 01 Feb 2023
Hierarchical Deep Q-Learning Based Handover in Wireless Networks with Dual Connectivity Pedro Enrique Iturria-Rivera Medhat H. M. Elsayed Majid Bavand Raimundas Gaigalas Steve Furr Melike Erol-Kantarci 13 7 0 13 Jan 2023
Intrinsic Motivation in Dynamical Control Systems Stas Tiomkin I. Nemenman Daniel Polani Naftali Tishby 59 5 0 29 Dec 2022
SHIRO: Soft Hierarchical Reinforcement Learning Kandai Watanabe Mathew Strong Omer Eldar 70 1 0 24 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 64 0 0 18 Dec 2022
Hierarchical Deep Reinforcement Learning for VWAP Strategy Optimization Xiaodong Li Pangjing Wu Chenxin Zou Qing Li 54 3 0 11 Dec 2022
Learning Options via Compression Yiding Jiang Emmy Liu Benjamin Eysenbach Zico Kolter Chelsea Finn OffRL 93 14 0 08 Dec 2022
EASpace: Enhanced Action Space for Policy Transfer Zheng Zhang Qingrui Zhang Bo Zhu Xiaohan Wang Tianjiang Hu 86 0 0 07 Dec 2022
Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery Yiqin Yang Haotian Hu Wenzhe Li Siyuan Li Jun Yang Qianchuan Zhao Chongjie Zhang OffRL 86 10 0 02 Dec 2022
Planning Irregular Object Packing via Hierarchical Reinforcement Learning Sichao Huang Ziwei Wang Jie Zhou Jiwen Lu 73 20 0 17 Nov 2022
Pretraining in Deep Reinforcement Learning: A Survey Zhihui Xie Zichuan Lin Junyou Li Shuai Li Deheng Ye OffRL OnRL AI4CE 83 23 0 08 Nov 2022
DynamicLight: Two-Stage Dynamic Traffic Signal Timing Liang Zhang Yutong Zhang Shubin Xie J. Deng Chen Li 53 0 0 02 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 97 11 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 98 4 0 26 Oct 2022