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 / 174 papers shown

Title
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 18 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 11 186 0 12 Nov 2019
HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators Chengshu Li Fei Xia R. M. Martin Silvio Savarese 14 100 0 24 Oct 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 27 17 0 22 Oct 2019
A Survey of Machine Learning Applied to Computer Architecture Design Drew Penney Lizhong Chen AI4CE 24 28 0 26 Sep 2019
Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning? Ofir Nachum Haoran Tang Xingyu Lu S. Gu Honglak Lee Sergey Levine 24 99 0 23 Sep 2019
Modular Deep Reinforcement Learning with Temporal Logic Specifications Li-xin Yuan Mohammadhosein Hasanbeig Alessandro Abate Daniel Kroening OffRL 8 39 0 23 Sep 2019
Joint Inference of Reward Machines and Policies for Reinforcement Learning Zhe Xu I. Gavran Yousef Ahmad R. Majumdar Daniel Neider Ufuk Topcu Bo Wu 22 91 0 12 Sep 2019
A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots Heriberto Cuayáhuitl OffRL 32 17 0 27 Aug 2019
Dynamics-aware Embeddings William F. Whitney Rajat Agarwal Kyunghyun Cho Abhinav Gupta SSL 19 53 0 25 Aug 2019
Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical Control Yu-Wei Chao Jimei Yang Weifeng Chen Jia Deng 24 42 0 20 Aug 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning Afshin Oroojlooyjadid Davood Hajinezhad 48 412 0 11 Aug 2019
Hindsight Trust Region Policy Optimization Hanbo Zhang Site Bai Xuguang Lan David Hsu Nanning Zheng 32 8 0 29 Jul 2019
Learning to design from humans: Imitating human designers through deep learning Ayush Raina Christopher McComb Jonathan Cagan 3DV AI4CE 29 65 0 26 Jul 2019
Generalization to Novel Objects using Prior Relational Knowledge V. Vijay Abhinav Ganesh Hanlin Tang Arjun K. Bansal GNN 19 6 0 26 Jun 2019
Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives Anirudh Goyal Shagun Sodhani Jonathan Binas Xue Bin Peng Sergey Levine Yoshua Bengio 21 47 0 25 Jun 2019
Neural networks with motivation Sergey A. Shuvaev Ngoc B. Tran Marcus Stephenson-Jones Bo-wen Li A. Koulakov 9 8 0 23 Jun 2019
Unsupervised Learning of Object Keypoints for Perception and Control Tejas D. Kulkarni Ankush Gupta Catalin Ionescu Sebastian Borgeaud Malcolm Reynolds Andrew Zisserman Volodymyr Mnih SSL OCL 11 193 0 19 Jun 2019
Sub-policy Adaptation for Hierarchical Reinforcement Learning Alexander C. Li Carlos Florensa I. Clavera Pieter Abbeel 21 71 0 13 Jun 2019
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 32 285 0 12 Jun 2019
Autonomous Reinforcement Learning of Multiple Interrelated Tasks V. Santucci Gianluca Baldassarre Emilio Cartoni 19 27 0 04 Jun 2019
Learning Compositional Neural Programs with Recursive Tree Search and Planning Thomas Pierrot Guillaume Ligner Scott E. Reed Olivier Sigaud Nicolas Perrin Alexandre Laterre David Kas Karim Beguir Nando de Freitas 36 41 0 30 May 2019
Knowledge-Based Sequential Decision-Making Under Uncertainty Daoming Lyu 19 4 0 16 May 2019
Learning and Exploiting Multiple Subgoals for Fast Exploration in Hierarchical Reinforcement Learning Libo Xing 11 4 0 13 May 2019
Planning in Hierarchical Reinforcement Learning: Guarantees for Using Local Policies Tom Zahavy Avinatan Hassidim Haim Kaplan Yishay Mansour OffRL 17 7 0 26 Feb 2019
Aggregating E-commerce Search Results from Heterogeneous Sources via Hierarchical Reinforcement Learning Ryuichi Takanobu Tao Zhuang Minlie Huang Jun Feng Haihong Tang Bo Zheng 25 17 0 24 Feb 2019
Modularization of End-to-End Learning: Case Study in Arcade Games Andrew Melnik Sascha Fleer M. Schilling Helge J. Ritter OffRL 39 12 0 27 Jan 2019
Hyperbolic Embeddings for Learning Options in Hierarchical Reinforcement Learning Saket Tiwari M. Prannoy 16 2 0 04 Dec 2018
Multi-agent Deep Reinforcement Learning with Extremely Noisy Observations Ozsel Kilinc Giovanni Montana 23 26 0 03 Dec 2018
Learning to Discover, Ground and Use Words with Segmental Neural Language Models Kazuya Kawakami Chris Dyer Phil Blunsom VLM 15 11 0 23 Nov 2018
Human-like machine learning: limitations and suggestions G. Mastorakis 19 12 0 14 Nov 2018
Agent Embeddings: A Latent Representation for Pole-Balancing Networks Oscar Chang Robert Kwiatkowski Siyuan Chen Hod Lipson 24 6 0 12 Nov 2018
Learning Representations in Model-Free Hierarchical Reinforcement Learning J. Rafati D. Noelle 11 45 0 23 Oct 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 32 550 0 12 Oct 2018
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks Fabio Pardo Vitaly Levdik Petar Kormushev 25 4 0 06 Oct 2018
ARCHER: Aggressive Rewards to Counter bias in Hindsight Experience Replay Sameera Lanka Tianfu Wu 20 30 0 06 Sep 2018
Automatically Composing Representation Transformations as a Means for Generalization Michael Chang Abhishek Gupta Sergey Levine Thomas L. Griffiths 26 68 0 12 Jul 2018
Multi-Agent Deep Reinforcement Learning with Human Strategies Thanh Nguyen Ngoc Duy Nguyen S. Nahavandi 27 12 0 12 Jun 2018
Hierarchical Reinforcement Learning with Hindsight Andrew Levy Robert W. Platt Kate Saenko 23 83 0 21 May 2018
Hierarchical Reinforcement Learning with Deep Nested Agents Marc Brittain Peng Wei BDL 14 1 0 18 May 2018
StarCraft Micromanagement with Reinforcement Learning and Curriculum Transfer Learning Kun Shao Yuanheng Zhu Dongbin Zhao 107 170 0 03 Apr 2018
Generating Multi-Agent Trajectories using Programmatic Weak Supervision Eric Zhan Stephan Zheng Yisong Yue Long Sha P. Lucey 25 88 0 20 Mar 2018
Automated Curriculum Learning by Rewarding Temporally Rare Events Niels Justesen S. Risi OffRL 24 20 0 19 Mar 2018
Policy Search in Continuous Action Domains: an Overview Olivier Sigaud F. Stulp 16 72 0 13 Mar 2018
Learning to Sequence Robot Behaviors for Visual Navigation Hadi Salman Puneet Singhal Tanmay Shankar Peng Yin A. Salman William Paivine Guillaume Sartoretti Matthew Travers Howie Choset 15 8 0 05 Mar 2018
Computational Theories of Curiosity-Driven Learning Pierre-Yves Oudeyer 24 64 0 28 Feb 2018
Progressive Reinforcement Learning with Distillation for Multi-Skilled Motion Control Glen Berseth Kevin Xie Paul Cernek M. van de Panne 26 56 0 13 Feb 2018
Deep Reinforcement Learning of Cell Movement in the Early Stage of C. elegans Embryogenesis Zehao Wang Dali Wang Chengcheng Li Yichi Xu Husheng Li Z. Bao 16 35 0 14 Jan 2018
Revisiting the Master-Slave Architecture in Multi-Agent Deep Reinforcement Learning Xiangyu Kong Bo Xin Fangchen Liu Yizhou Wang 21 44 0 20 Dec 2017
Learning Multi-Level Hierarchies with Hindsight Andrew Levy George Konidaris Robert W. Platt Kate Saenko 24 79 0 04 Dec 2017