v1v2 (latest)

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
Subgoal Discovery for Hierarchical Dialogue Policy Learning Da Tang Xiujun Li Jianfeng Gao Chong-Jun Wang Lihong Li Tony Jebara 87 50 0 20 Apr 2018
PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making Fangkai Yang Daoming Lyu Bo Liu Steven M. Gustafson OffRL 56 136 0 20 Apr 2018
Delegating via Quitting Games Juan Afanador Nir Oren Murilo S. Baptista 13 0 0 20 Apr 2018
Latent Space Policies for Hierarchical Reinforcement Learning Tuomas Haarnoja Kristian Hartikainen Pieter Abbeel Sergey Levine BDL 83 193 0 09 Apr 2018
StarCraft Micromanagement with Reinforcement Learning and Curriculum Transfer Learning Kun Shao Yuanheng Zhu Dongbin Zhao 145 171 0 03 Apr 2018
Generating Multi-Agent Trajectories using Programmatic Weak Supervision Eric Zhan Stephan Zheng Yisong Yue Long Sha P. Lucey 108 90 0 20 Mar 2018
Automated Curriculum Learning by Rewarding Temporally Rare Events Niels Justesen S. Risi OffRL 69 20 0 19 Mar 2018
Learning to Play General Video-Games via an Object Embedding Network William Woof Ke Chen 61 13 0 14 Mar 2018
Policy Search in Continuous Action Domains: an Overview Olivier Sigaud F. Stulp 128 73 0 13 Mar 2018
Hierarchical Reinforcement Learning: Approximating Optimal Discounted TSP Using Local Policies Tom Zahavy Avinatan Hassidim Haim Kaplan Yishay Mansour 63 1 0 13 Mar 2018
Extracting Action Sequences from Texts Based on Deep Reinforcement Learning Wenfeng Feng Hankui Zhuo S. Kambhampati 88 60 0 07 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 40 8 0 05 Mar 2018
Hierarchical Imitation and Reinforcement Learning Hoang Minh Le Nan Jiang Alekh Agarwal Miroslav Dudík Yisong Yue Hal Daumé 79 194 0 01 Mar 2018
Composable Planning with Attributes Amy Zhang Adam Lerer Sainbayar Sukhbaatar Rob Fergus Arthur Szlam 175 64 0 01 Mar 2018
Learning by Playing - Solving Sparse Reward Tasks from Scratch Martin Riedmiller Roland Hafner Thomas Lampe Michael Neunert Jonas Degrave T. Wiele Volodymyr Mnih N. Heess Jost Tobias Springenberg 113 450 0 28 Feb 2018
Computational Theories of Curiosity-Driven Learning Pierre-Yves Oudeyer 92 65 0 28 Feb 2018
DiGrad: Multi-Task Reinforcement Learning with Shared Actions Parijat Dewangan S. Teja K. M. Krishna Abhishek Sarkar Balaraman Ravindran 43 7 0 27 Feb 2018
Unicorn: Continual Learning with a Universal, Off-policy Agent D. Mankowitz Augustin Žídek André Barreto Dan Horgan Matteo Hessel John Quan Junhyuk Oh H. V. Hasselt David Silver Tom Schaul CLL OffRL 70 48 0 22 Feb 2018
Continual Lifelong Learning with Neural Networks: A Review G. I. Parisi Ronald Kemker Jose L. Part Christopher Kanan S. Wermter KELM CLL 283 2,912 0 21 Feb 2018
Emergence of Structured Behaviors from Curiosity-Based Intrinsic Motivation Nick Haber Damian Mrowca Li Fei-Fei Daniel L. K. Yamins LRM 56 22 0 21 Feb 2018
Learning to Play with Intrinsically-Motivated Self-Aware Agents Nick Haber Damian Mrowca Li Fei-Fei Daniel L. K. Yamins LRM 96 120 0 21 Feb 2018
Learning High-level Representations from Demonstrations Garrett Andersen Peter Vrancx Haitham Bou-Ammar 39 3 0 19 Feb 2018
Progressive Reinforcement Learning with Distillation for Multi-Skilled Motion Control Glen Berseth Kevin Xie Paul Cernek M. van de Panne 87 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 57 35 0 14 Jan 2018
Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning Saurabh Kumar Pararth Shah Dilek Z. Hakkani-Tür Larry Heck AI4CE 45 34 0 22 Dec 2017
Revisiting the Master-Slave Architecture in Multi-Agent Deep Reinforcement Learning Xiangyu Kong Bo Xin Fangchen Liu Yizhou Wang 40 44 0 20 Dec 2017
Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning Tianmin Shu Caiming Xiong R. Socher OffRL 159 140 0 20 Dec 2017
IQA: Visual Question Answering in Interactive Environments Daniel Gordon Aniruddha Kembhavi Mohammad Rastegari Joseph Redmon Dieter Fox Ali Farhadi LM&Ro 140 391 0 09 Dec 2017
Learning by Asking Questions Ishan Misra Ross B. Girshick Rob Fergus M. Hebert Abhinav Gupta Laurens van der Maaten 79 84 0 04 Dec 2017
Learning Multi-Level Hierarchies with Hindsight Andrew Levy George Konidaris Robert Platt Kate Saenko 120 79 0 04 Dec 2017
Learning to Compose Skills Himanshu Sahni Saurabh Kumar Farhan Tejani Charles Isbell CoGe 80 39 0 30 Nov 2017
Transferring Autonomous Driving Knowledge on Simulated and Real Intersections David Isele Akansel Cosgun 62 20 0 30 Nov 2017
Video Captioning via Hierarchical Reinforcement Learning Xin Eric Wang Wenhu Chen Jiawei Wu Yuan-fang Wang William Yang Wang 124 229 0 29 Nov 2017
Crossmodal Attentive Skill Learner Shayegan Omidshafiei Dong-Ki Kim Jason Pazis Jonathan P. How 88 13 0 28 Nov 2017
Transferring Agent Behaviors from Videos via Motion GANs Ashley D. Edwards Charles Isbell VGen GAN 35 0 0 21 Nov 2017
Teaching a Machine to Read Maps with Deep Reinforcement Learning Gino Brunner Oliver Richter Yuyi Wang Roger Wattenhofer 3DV 83 52 0 20 Nov 2017
Hindsight policy gradients Paulo E. Rauber Avinash Ummadisingu Filipe Wall Mutz J. Schmidhuber 84 68 0 16 Nov 2017
Saliency-based Sequential Image Attention with Multiset Prediction Sean Welleck Jialin Mao Kyunghyun Cho Zheng Zhang 52 23 0 14 Nov 2017
Building machines that adapt and compute like brains Brenden M. Lake J. Tenenbaum AI4CE FedML NAI AILaw 331 887 0 11 Nov 2017
Learning with Options that Terminate Off-Policy Anna Harutyunyan Peter Vrancx Pierre-Luc Bacon Doina Precup A. Nowé OffRL 127 28 0 10 Nov 2017
Automata-Guided Hierarchical Reinforcement Learning for Skill Composition Xiao Li Yao Ma C. Belta 26 5 0 31 Oct 2017
Eigenoption Discovery through the Deep Successor Representation Marlos C. Machado Clemens Rosenbaum Xiaoxiao Guo Miao Liu Gerald Tesauro Murray Campbell 105 142 0 30 Oct 2017
End-to-end Driving via Conditional Imitation Learning Felipe Codevilla Matthias Muller Antonio M. López V. Koltun Alexey Dosovitskiy 158 1,070 0 06 Oct 2017
Rainbow: Combining Improvements in Deep Reinforcement Learning Matteo Hessel Joseph Modayil H. V. Hasselt Tom Schaul Georg Ostrovski Will Dabney Dan Horgan Bilal Piot M. G. Azar David Silver OffRL 112 2,283 0 06 Oct 2017
Neural Task Programming: Learning to Generalize Across Hierarchical Tasks Danfei Xu Suraj Nair Yuke Zhu J. Gao Animesh Garg Li Fei-Fei Silvio Savarese 86 198 0 04 Oct 2017
Deep Abstract Q-Networks Melrose Roderick Christopher Grimm Stefanie Tellex 100 33 0 02 Oct 2017
Long Text Generation via Adversarial Training with Leaked Information Jiaxian Guo Sidi Lu Han Cai Weinan Zhang Yong Yu Jun Wang GAN 101 501 0 24 Sep 2017
Expanding Motor Skills through Relay Neural Networks Visak C. V. Kumar Sehoon Ha Chenxi Liu 27 2 0 22 Sep 2017
Deep Reinforcement Learning for Dexterous Manipulation with Concept Networks Aditya Gudimella Ross Story M. Shaker Ruofan Kong Matthew A. Brown Victor Shnayder Marcos Campos 53 24 0 20 Sep 2017
When Waiting is not an Option : Learning Options with a Deliberation Cost J. Harb Pierre-Luc Bacon Martin Klissarov Doina Precup 69 150 0 14 Sep 2017