Deep Reinforcement Learning with Double Q-learning

22 September 2015

David Silver

Papers citing "Deep Reinforcement Learning with Double Q-learning"

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Title
Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space Jiechao Xiong Qing Wang Zhuoran Yang Peng Sun Lei Han Yang Zheng Haobo Fu Tong Zhang Ji Liu Han Liu 37 169 0 10 Oct 2018
Deep Reinforcement Learning for Time Scheduling in RF-Powered Backscatter Cognitive Radio Networks Tran The Anh Nguyen Cong Luong Dusit Niyato Ying-Chang Liang Dong In Kim 28 39 0 03 Oct 2018
SmartChoices: Hybridizing Programming and Machine Learning Victor Carbune Thierry Coppey A. Daryin Thomas Deselaers Nikhil Sarda J. Yagnik 24 2 0 01 Oct 2018
In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning Xiaofei Wang Yiwen Han Chenyang Wang Qiyang Zhao Xu Chen Min Chen 19 798 0 19 Sep 2018
Object-sensitive Deep Reinforcement Learning Yuezhang Li Katia Sycara R. Iyer 20 65 0 17 Sep 2018
Transparency and Explanation in Deep Reinforcement Learning Neural Networks R. Iyer Yuezhang Li Huao Li M. Lewis R. Sundar Katia Sycara 23 173 0 17 Sep 2018
Negative Update Intervals in Deep Multi-Agent Reinforcement Learning Gregory Palmer Rahul Savani K. Tuyls 28 27 0 13 Sep 2018
Combined Reinforcement Learning via Abstract Representations Vincent François-Lavet Yoshua Bengio Doina Precup Joelle Pineau OffRL 30 89 0 12 Sep 2018
Factorized Q-Learning for Large-Scale Multi-Agent Systems M. Zhou Yong Chen Ying Wen Yaodong Yang Yufeng Su Weinan Zhang Dell Zhang Jun Wang AI4CE 35 68 0 11 Sep 2018
Adaptive Behavior Generation for Autonomous Driving using Deep Reinforcement Learning with Compact Semantic States Peter Wolf Karl Kurzer Tobias Wingert Florian Kuhnt Johann Marius Zöllner 30 55 0 10 Sep 2018
Learning Invariances for Policy Generalization Rémi Tachet des Combes Philip Bachman H. V. Seijen 20 12 0 07 Sep 2018
Reinforcement Learning for Autonomous Defence in Software-Defined Networking Yi Han Benjamin I. P. Rubinstein Tamas Abraham T. Alpcan O. Vel S. Erfani David Hubczenko C. Leckie Paul Montague AAML 22 68 0 17 Aug 2018
NAVREN-RL: Learning to fly in real environment via end-to-end deep reinforcement learning using monocular images Malik Aqeel Anwar A. Raychowdhury 21 22 0 22 Jul 2018
Recent Advances in Deep Learning: An Overview Matiur Rahman Minar Jibon Naher VLM 29 116 0 21 Jul 2018
Safe Option-Critic: Learning Safety in the Option-Critic Architecture Arushi Jain Khimya Khetarpal Doina Precup 21 26 0 21 Jul 2018
FuzzerGym: A Competitive Framework for Fuzzing and Learning W. Drozd Michael D. Wagner 33 32 0 19 Jul 2018
Online Robust Policy Learning in the Presence of Unknown Adversaries Aaron J. Havens Zhanhong Jiang Soumik Sarkar AAML 24 43 0 16 Jul 2018
Using Reinforcement Learning with Partial Vehicle Detection for Intelligent Traffic Signal Control Rusheng Zhang A. Ishikawa Wenli Wang Benjamin Striner Ozan Tonguz 32 101 0 04 Jul 2018
A Dissection of Overfitting and Generalization in Continuous Reinforcement Learning Amy Zhang Nicolas Ballas Joelle Pineau CLL OffRL 33 177 0 20 Jun 2018
RUDDER: Return Decomposition for Delayed Rewards Jose A. Arjona-Medina Michael Gillhofer Michael Widrich Thomas Unterthiner Johannes Brandstetter Sepp Hochreiter 35 213 0 20 Jun 2018
Implicit Quantile Networks for Distributional Reinforcement Learning Will Dabney Georg Ostrovski David Silver Rémi Munos OffRL 39 529 0 14 Jun 2018
Qualitative Measurements of Policy Discrepancy for Return-Based Deep Q-Network Wenjia Meng Qian Zheng L. Yang Pengfei Li Gang Pan 20 21 0 14 Jun 2018
Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors S. Ghosh Jiayu Yao Finale Doshi-Velez BDL UQCV 17 77 0 13 Jun 2018
Context-Aware Policy Reuse Siyuan Li Fangda Gu Guangxiang Zhu Chongjie Zhang OffRL 30 36 0 11 Jun 2018
Learning to Search in Long Documents Using Document Structure Mor Geva Jonathan Berant RALM 32 15 0 09 Jun 2018
Randomized Prior Functions for Deep Reinforcement Learning Ian Osband John Aslanides Albin Cassirer UQCV BDL 21 372 0 08 Jun 2018
Fast Exploration with Simplified Models and Approximately Optimistic Planning in Model Based Reinforcement Learning Ramtin Keramati Jay Whang Patrick Cho Emma Brunskill OffRL 29 7 0 01 Jun 2018
Sequential Attacks on Agents for Long-Term Adversarial Goals E. Tretschk Seong Joon Oh Mario Fritz OnRL 329 47 1 31 May 2018
Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update Su Young Lee Sung-Ik Choi Sae-Young Chung BDL 21 73 0 31 May 2018
Meta-Gradient Reinforcement Learning Zhongwen Xu H. V. Hasselt David Silver 53 324 0 24 May 2018
Episodic Memory Deep Q-Networks Zichuan Lin Tianqi Zhao Guangwen Yang Lintao Zhang OffRL 24 85 0 19 May 2018
Hierarchical Reinforcement Learning with Deep Nested Agents Marc Brittain Peng Wei BDL 24 1 0 18 May 2018
Optimized Computation Offloading Performance in Virtual Edge Computing Systems via Deep Reinforcement Learning Xianfu Chen Honggang Zhang Celimuge Wu S. Mao Yusheng Ji Medhi Bennis OffRL 36 483 0 16 May 2018
Graph Signal Sampling via Reinforcement Learning Oleksii Abramenko A. Jung 24 5 0 15 May 2018
Deep Hierarchical Reinforcement Learning Algorithm in Partially Observable Markov Decision Processes T. P. Le Ngo Anh Vien Abu Layek TaeChoong Chung 25 51 0 11 May 2018
Stochastic Approximation for Risk-aware Markov Decision Processes Wenjie Huang W. Haskell 12 17 0 11 May 2018
Metatrace Actor-Critic: Online Step-size Tuning by Meta-gradient Descent for Reinforcement Learning Control K. Young Baoxiang Wang Matthew E. Taylor OffRL 18 15 0 10 May 2018
MOVI: A Model-Free Approach to Dynamic Fleet Management Takuma Oda Carlee Joe-Wong 22 93 0 13 Apr 2018
Distort-and-Recover: Color Enhancement using Deep Reinforcement Learning Jongchan Park Joon-Young Lee Donggeun Yoo In So Kweon OffRL 22 195 0 12 Apr 2018
StarCraft Micromanagement with Reinforcement Learning and Curriculum Transfer Learning Kun Shao Yuanheng Zhu Dongbin Zhao 109 170 0 03 Apr 2018
Joint Learning of Interactive Spoken Content Retrieval and Trainable User Simulator Pei-Hung Chung Kuan Tung Ching-Lun Tai Hung-yi Lee RALM 26 1 0 01 Apr 2018
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid Mikayel Samvelyan Christian Schroeder de Witt Gregory Farquhar Jakob N. Foerster Shimon Whiteson 96 1,657 0 30 Mar 2018
Deep Reinforcement Learning for Traffic Light Control in Vehicular Networks Xiaoyuan Liang Xunsheng Du Guiling Wang Zhu Han 35 410 0 29 Mar 2018
Forward-Backward Reinforcement Learning Ashley D. Edwards Laura Downs James C. Davidson 31 38 0 27 Mar 2018
Imitation Learning with Concurrent Actions in 3D Games Jack Harmer Linus Gisslén Jorge del Val Henrik Holst Joakim Bergdahl Tom Olsson K. Sjöö Magnus Nordin 21 45 0 14 Mar 2018
Policy Search in Continuous Action Domains: an Overview Olivier Sigaud F. Stulp 16 72 0 13 Mar 2018
Accelerated Methods for Deep Reinforcement Learning Adam Stooke Pieter Abbeel OffRL OnRL 25 133 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 20 8 0 05 Mar 2018
Distributed Prioritized Experience Replay Dan Horgan John Quan David Budden Gabriel Barth-Maron Matteo Hessel H. V. Hasselt David Silver 113 731 0 02 Mar 2018
Hierarchical Imitation and Reinforcement Learning Hoang Minh Le Nan Jiang Alekh Agarwal Miroslav Dudík Yisong Yue Hal Daumé 33 190 0 01 Mar 2018