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
Deep Reinforcement-Learning-based Driving Policy for Autonomous Road Vehicles Konstantinos Makantasis Maria Kontorinaki I. Nikolos 24 33 0 10 Jul 2019
Deep Active Inference as Variational Policy Gradients Beren Millidge BDL 32 103 0 08 Jul 2019
Deep Learning based Wireless Resource Allocation with Application to Vehicular Networks Le Liang Hao Ye Guanding Yu Geoffrey Ye Li 30 195 0 07 Jul 2019
On Inductive Biases in Deep Reinforcement Learning Matteo Hessel H. V. Hasselt Joseph Modayil David Silver AI4CE 33 41 0 05 Jul 2019
Co-training for Policy Learning Jialin Song Ravi Lanka Yisong Yue M. Ono OffRL 18 19 0 03 Jul 2019
Learning the Arrow of Time Nasim Rahaman Steffen Wolf Anirudh Goyal Roman Remme Yoshua Bengio 20 5 0 02 Jul 2019
Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog Natasha Jaques Asma Ghandeharioun J. Shen Craig Ferguson Àgata Lapedriza Noah J. Jones S. Gu Rosalind W. Picard OffRL 45 337 0 30 Jun 2019
Hyp-RL : Hyperparameter Optimization by Reinforcement Learning H. Jomaa Josif Grabocka Lars Schmidt-Thieme 25 65 0 27 Jun 2019
Modern Deep Reinforcement Learning Algorithms Sergey Ivanov A. Dýakonov OffRL 29 39 0 24 Jun 2019
In Hindsight: A Smooth Reward for Steady Exploration H. Jomaa Josif Grabocka Lars Schmidt-Thieme 16 0 0 24 Jun 2019
A Deep Reinforcement Learning Approach for Global Routing Haiguang Liao Wentai Zhang Xuliang Dong Barnabás Póczós K. Shimada L. Kara 27 82 0 20 Jun 2019
When Multiple Agents Learn to Schedule: A Distributed Radio Resource Management Framework Navid Naderializadeh J. Sydir M. Simsek Hosein Nikopour S. Talwar 21 9 0 20 Jun 2019
Deep Reinforcement Learning for Cyber Security Thanh Thi Nguyen Vijay Janapa Reddi OffRL AI4CE 10 314 0 13 Jun 2019
When to use parametric models in reinforcement learning? H. V. Hasselt Matteo Hessel John Aslanides 46 189 0 12 Jun 2019
AgentGraph: Towards Universal Dialogue Management with Structured Deep Reinforcement Learning Lu Chen Zhi Chen Bowen Tan Sishan Long Milica Gasic Kai Yu 19 35 0 27 May 2019
Policy Search by Target Distribution Learning for Continuous Control Chuheng Zhang Yuanqi Li Jian Li 26 6 0 27 May 2019
Deep Q-Learning with Q-Matrix Transfer Learning for Novel Fire Evacuation Environment Jivitesh Sharma Per-Arne Andersen Ole-Christoffer Granmo M. G. Olsen AI4CE 41 68 0 23 May 2019
Deep Reinforcement Learning Based Parameter Control in Differential Evolution Mudita Sharma Alexandros Komninos Manuel López-Ibánez D. Kazakov 14 72 0 20 May 2019
Deep Reinforcement Learning-Based Channel Allocation for Wireless LANs with Graph Convolutional Networks Kota Nakashima Shotaro Kamiya K. Ohtsu Koji Yamamoto Takayuki Nishio M. Morikura 22 54 0 17 May 2019
Design of Artificial Intelligence Agents for Games using Deep Reinforcement Learning A. Roibu 36 1 0 10 May 2019
Longitudinal Dynamic versus Kinematic Models for Car-Following Control Using Deep Reinforcement Learning Yuan Lin J. McPhee N. L. Azad AI4CE 33 34 0 07 May 2019
P3O: Policy-on Policy-off Policy Optimization Rasool Fakoor Pratik Chaudhari Alex Smola OffRL 29 51 0 05 May 2019
From Video Game to Real Robot: The Transfer between Action Spaces Janne Karttunen Anssi Kanervisto Ville Kyrki Ville Hautamaki 25 8 0 02 May 2019
Target-Based Temporal Difference Learning Donghwan Lee Niao He OOD 30 31 0 24 Apr 2019
Model-free Deep Reinforcement Learning for Urban Autonomous Driving Jianyu Chen Bodi Yuan Masayoshi Tomizuka 30 262 0 20 Apr 2019
Differentiable Sampling with Flexible Reference Word Order for Neural Machine Translation Weijia Xu Xing Niu Marine Carpuat 26 10 0 04 Apr 2019
Looking Fast and Slow: Memory-Guided Mobile Video Object Detection Mason Liu Menglong Zhu Marie White Yinxiao Li Dmitry Kalenichenko 23 83 0 25 Mar 2019
Using RGB Image as Visual Input for Mapless Robot Navigation Liulong Ma Yanjie Liu Jiao Chen SSL 39 17 0 24 Mar 2019
Deep Reinforcement Learning of Volume-guided Progressive View Inpainting for 3D Point Scene Completion from a Single Depth Image Xiaoguang Han Zhaoxuan Zhang Dong Du Mingdai Yang Jingming Yu Pan Pan Xin Yang Ligang Liu Zixiang Xiong Shuguang Cui 3DPC 30 51 0 10 Mar 2019
Open-Sourced Reinforcement Learning Environments for Surgical Robotics Florian Richter Ryan K. Orosco Michael C. Yip OffRL 27 79 0 05 Mar 2019
Deep Learning in Medical Image Registration: A Survey Grant Haskins Uwe Krüger Pingkun Yan MedIm 28 587 0 05 Mar 2019
Towards Understanding Chinese Checkers with Heuristics, Monte Carlo Tree Search, and Deep Reinforcement Learning Ziyu Liu Meng Zhou Weiqing Cao Qiang Qu H. W. F. Yeung Yuk Ying Chung 21 4 0 05 Mar 2019
Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space Zhou Fan Ruilong Su Weinan Zhang Yong Yu 19 134 0 04 Mar 2019
Neural Packet Classification Eric Liang Hang Zhu Xin Jin Ion Stoica OffRL 40 120 0 27 Feb 2019
Optimal and Fast Real-time Resources Slicing with Deep Dueling Neural Networks Nguyen Van Huynh D. Hoang Diep N. Nguyen E. Dutkiewicz 11 112 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 30 17 0 24 Feb 2019
Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement Learning Woojun Kim Myungsik Cho Y. Sung 25 55 0 18 Feb 2019
Non-Asymptotic Analysis of Monte Carlo Tree Search Devavrat Shah Qiaomin Xie Zhi Xu 19 9 0 14 Feb 2019
Learning to Learn in Simulation Ervin Teng Bob Iannucci 19 1 0 05 Feb 2019
Go-Explore: a New Approach for Hard-Exploration Problems Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune AI4TS 24 363 0 30 Jan 2019
End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis Lin Xu Qixian Zhou Ke Gong Xiaodan Liang Jianheng Tang Liang Lin MedIm 33 167 0 30 Jan 2019
CLIC: Curriculum Learning and Imitation for object Control in non-rewarding environments Pierre Fournier Olivier Sigaud Cédric Colas Mohamed Chetouani OffRL 40 26 0 28 Jan 2019
Distributed Learning of Decentralized Control Policies for Articulated Mobile Robots Guillaume Sartoretti William Paivine Yunfei Shi Yue Wu Howie Choset 24 55 0 24 Jan 2019
A Deep Recurrent Q Network towards Self-adapting Distributed Microservices architecture Basel Magableh 29 15 0 13 Jan 2019
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications Thanh Thi Nguyen Ngoc Duy Nguyen S. Nahavandi 27 775 0 31 Dec 2018
Deconfounding Reinforcement Learning in Observational Settings Chaochao Lu Bernhard Schölkopf José Miguel Hernández-Lobato CML OOD 39 73 0 26 Dec 2018
Dopamine: A Research Framework for Deep Reinforcement Learning Pablo Samuel Castro Subhodeep Moitra Carles Gelada Saurabh Kumar Marc G. Bellemare OffRL 28 276 0 14 Dec 2018
Exploration Conscious Reinforcement Learning Revisited Lior Shani Yonathan Efroni Shie Mannor 24 2 0 13 Dec 2018
Learning with Training Wheels: Speeding up Training with a Simple Controller for Deep Reinforcement Learning Linhai Xie Sen Wang Stefano Rosa Andrew Markham A. Trigoni OffRL 30 80 0 12 Dec 2018
Active Deep Q-learning with Demonstration Si-An Chen Voot Tangkaratt Hsuan-Tien Lin Masashi Sugiyama 21 32 0 06 Dec 2018