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 / 159 papers shown

Title
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
Learning from Guided Play: A Scheduled Hierarchical Approach for Improving Exploration in Adversarial Imitation Learning Trevor Ablett Bryan Chan Jonathan Kelly 21 4 0 16 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 41 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 37 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 32 41 0 04 Nov 2021
TRAIL: Near-Optimal Imitation Learning with Suboptimal Data Mengjiao Yang Sergey Levine Ofir Nachum OffRL 41 42 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 21 6 0 26 Oct 2021
Deep Reinforcement Learning for Simultaneous Sensing and Channel Access in Cognitive Networks Yoel Bokobza R. Dabora Kobi Cohen 33 13 0 24 Oct 2021
A Framework for Learning to Request Rich and Contextually Useful Information from Humans Khanh Nguyen Yonatan Bisk Hal Daumé 47 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
Generalization in Text-based Games via Hierarchical Reinforcement Learning Yunqiu Xu Meng Fang Ling Chen Yali Du Chengqi Zhang AI4CE 40 20 0 21 Sep 2021
Context-Specific Representation Abstraction for Deep Option Learning Marwa Abdulhai Dong-Ki Kim Matthew D Riemer Miao Liu Gerald Tesauro Jonathan P. How OffRL 31 9 0 20 Sep 2021
Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey Richard Dazeley Peter Vamplew Francisco Cruz 32 59 0 20 Aug 2021
A Survey on Deep Reinforcement Learning for Data Processing and Analytics Qingpeng Cai Can Cui Yiyuan Xiong Wei Wang Zhongle Xie Meihui Zhang OffRL 21 29 0 10 Aug 2021
Recent Advances in Leveraging Human Guidance for Sequential Decision-Making Tasks Ruohan Zhang F. Torabi Garrett A. Warnell Peter Stone 75 28 0 13 Jul 2021
Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning Yuexiang Zhai Christina Baek Zhengyuan Zhou Jiantao Jiao Yi Ma 27 22 0 08 Jul 2021
Discovering Generalizable Skills via Automated Generation of Diverse Tasks Kuan Fang Yuke Zhu Silvio Savarese Li Fei-Fei 48 6 0 26 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
Online Baum-Welch algorithm for Hierarchical Imitation Learning Vittorio Giammarino I. Paschalidis OffRL 14 2 0 22 Mar 2021
Learning Symbolic Rules for Interpretable Deep Reinforcement Learning Zhihao Ma Yuzheng Zhuang Paul Weng Hankui Zhuo Dong Li Wulong Liu Jianye Hao NAI 51 14 0 15 Mar 2021
Hierarchical and Partially Observable Goal-driven Policy Learning with Goals Relational Graph Xin Ye Yezhou Yang 27 22 0 01 Mar 2021
A Survey of Machine Learning for Computer Architecture and Systems Nan Wu Yuan Xie AI4TS AI4CE 20 144 0 16 Feb 2021
Discovery of Options via Meta-Learned Subgoals Vivek Veeriah Tom Zahavy Matteo Hessel Zhongwen Xu Junhyuk Oh Iurii Kemaev H. V. Hasselt David Silver Satinder Singh 23 33 0 12 Feb 2021
Progressive Interpretation Synthesis: Interpreting Task Solving by Quantifying Previously Used and Unused Information Zhengqi He Taro Toyoizumi 19 1 0 08 Jan 2021
Multi-agent Reinforcement Learning Accelerated MCMC on Multiscale Inversion Problem Eric T. Chung Y. Efendiev W. Leung Sai-Mang Pun Zecheng Zhang 6 12 0 17 Nov 2020
Trajectory Planning for Autonomous Vehicles Using Hierarchical Reinforcement Learning Kaleb Ben Naveed Zhiqian Qiao John M. Dolan 9 55 0 09 Nov 2020
Efficient Robotic Object Search via HIEM: Hierarchical Policy Learning with Intrinsic-Extrinsic Modeling Xin Ye Yezhou Yang 22 14 0 16 Oct 2020
Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning Rodrigo Toro Icarte Toryn Q. Klassen Richard Valenzano Sheila A. McIlraith OffRL 44 215 0 06 Oct 2020
Multi-Task Learning with Deep Neural Networks: A Survey M. Crawshaw CVBM 48 609 0 10 Sep 2020
Maximum Mutation Reinforcement Learning for Scalable Control Karush Suri Xiaolong Shi Konstantinos N. Plataniotis Y. Lawryshyn 25 4 0 24 Jul 2020
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving Zhangjie Cao Erdem Biyik Woodrow Z. Wang Allan Raventos Adrien Gaidon Guy Rosman Dorsa Sadigh 31 65 0 01 Jul 2020
Learning Robot Skills with Temporal Variational Inference Tanmay Shankar Abhinav Gupta DRL BDL 38 74 0 29 Jun 2020
Active Finite Reward Automaton Inference and Reinforcement Learning Using Queries and Counterexamples Zhe Xu Bo Wu Aditya Ojha Daniel Neider Ufuk Topcu OffRL 12 28 0 28 Jun 2020
A Unifying Framework for Reinforcement Learning and Planning Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker OffRL 33 9 0 26 Jun 2020
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning Tianren Zhang Shangqi Guo Tian Tan Xiaolin Hu Feng Chen 22 80 0 20 Jun 2020
Acme: A Research Framework for Distributed Reinforcement Learning Matthew W. Hoffman Bobak Shahriari John Aslanides Gabriel Barth-Maron Nikola Momchev ... Srivatsan Srinivasan A. Cowie Ziyun Wang Bilal Piot Nando de Freitas 60 225 0 01 Jun 2020
AI Research Considerations for Human Existential Safety (ARCHES) Andrew Critch David M. Krueger 30 50 0 30 May 2020
Decentralized Deep Reinforcement Learning for a Distributed and Adaptive Locomotion Controller of a Hexapod Robot M. Schilling Kai Konen F. Ohl Timo Korthals 14 18 0 21 May 2020
Hierarchically Decoupled Imitation for Morphological Transfer D. Hejna Pieter Abbeel Lerrel Pinto LM&Ro 20 40 0 03 Mar 2020
Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path Keita Ota Y. Sasaki Devesh K. Jha Yusuke Yoshiyasu Asako Kanezaki 24 18 0 03 Mar 2020
Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration Guy Van den Broeck Yitao Liang Mathias Niepert OffRL 12 3 0 25 Feb 2020
Learn to Design the Heuristics for Vehicle Routing Problem Lei Gao Mingxiang Chen Qichang Chen Ganzhong Luo Nuoyi Zhu Zhixin Liu 16 50 0 20 Feb 2020
Dota 2 with Large Scale Deep Reinforcement Learning OpenAI OpenAI : Christopher Berner Greg Brockman Brooke Chan ... Szymon Sidor Ilya Sutskever Jie Tang Filip Wolski Susan Zhang GNN VLM CLL AI4CE LRM 41 1,794 0 13 Dec 2019
Learning Improvement Heuristics for Solving Routing Problems Yaoxin Wu Wen Song Zhiguang Cao Jie Zhang Andrew Lim 33 281 0 12 Dec 2019
Long-Term Personalization of an In-Home Socially Assistive Robot for Children With Autism Spectrum Disorders Caitlyn E. Clabaugh Kartik Mahajan Shomik Jain Roxanna Pakkar David Becerra Zhonghao Shi Eric Deng Rhianna Lee G. Ragusa Maja J. Matarić 16 96 0 18 Nov 2019
Combinatorial Optimization by Graph Pointer Networks and Hierarchical Reinforcement Learning Qiang Ma Suwen Ge Danyang He D. Thaker Iddo Drori 9 186 0 12 Nov 2019
Faster and Safer Training by Embedding High-Level Knowledge into Deep Reinforcement Learning Haodi Zhang Zihang Gao Yi Zhou Haotong Zhang Kaishun Wu Fangzhen Lin AI4CE 24 17 0 22 Oct 2019
A Survey of Machine Learning Applied to Computer Architecture Design Drew Penney Lizhong Chen AI4CE 22 28 0 26 Sep 2019
Modular Deep Reinforcement Learning with Temporal Logic Specifications Li-xin Yuan Mohammadhosein Hasanbeig Alessandro Abate Daniel Kroening OffRL 6 39 0 23 Sep 2019