v1v2v3 (latest)

Deep Reinforcement Learning with Double Q-learning

22 September 2015

David Silver

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

50 / 2,291 papers shown

Title
Optimal and Fast Real-time Resources Slicing with Deep Dueling Neural Networks Nguyen Van Huynh D. Hoang Diep N. Nguyen E. Dutkiewicz 46 113 0 26 Feb 2019
Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence Yi Han David Hubczenko Paul Montague O. Vel Tamas Abraham Benjamin I. P. Rubinstein C. Leckie T. Alpcan S. Erfani AAML 54 6 0 25 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 91 17 0 24 Feb 2019
Distributionally Robust Reinforcement Learning E. Smirnova Elvis Dohmatob Jérémie Mary OffRL 68 60 0 23 Feb 2019
DOM-Q-NET: Grounded RL on Structured Language Sheng Jia J. Kiros Jimmy Ba LM&Ro 73 37 0 19 Feb 2019
Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement Learning Woojun Kim Myungsik Cho Y. Sung 49 55 0 18 Feb 2019
Deep Reinforcement Learning Based High-level Driving Behavior Decision-making Model in Heterogeneous Traffic Zhengwei Bai B. Cai Shangguan Wei Linguo Chai 83 31 0 15 Feb 2019
Non-Asymptotic Analysis of Monte Carlo Tree Search Devavrat Shah Qiaomin Xie Zhi Xu 34 9 0 14 Feb 2019
ACTRCE: Augmenting Experience via Teacher's Advice For Multi-Goal Reinforcement Learning Harris Chan Yuhuai Wu J. Kiros Sanja Fidler Jimmy Ba 99 34 0 12 Feb 2019
Metaoptimization on a Distributed System for Deep Reinforcement Learning Greg Heinrich I. Frosio OffRL 28 2 0 07 Feb 2019
The Actor-Advisor: Policy Gradient With Off-Policy Advice Hélène Plisnier Denis Steckelmacher D. Roijers A. Nowé CML OffRL 27 6 0 07 Feb 2019
Learning to Learn in Simulation Ervin Teng Bob Iannucci 32 1 0 05 Feb 2019
Visual Rationalizations in Deep Reinforcement Learning for Atari Games L. Weitkamp Elise van der Pol Zeynep Akata 84 27 0 01 Feb 2019
Addressing Sample Complexity in Visual Tasks Using HER and Hallucinatory GANs Himanshu Sahni Toby Buckley Pieter Abbeel Ilya Kuzovkin 65 10 0 31 Jan 2019
Go-Explore: a New Approach for Hard-Exploration Problems Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune AI4TS 113 370 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 107 174 0 30 Jan 2019
A Regulation Enforcement Solution for Multi-agent Reinforcement Learning Fan-Yun Sun Yen-Yu Chang Yueh-hua Wu Shou-De Lin 25 2 0 29 Jan 2019
CLIC: Curriculum Learning and Imitation for object Control in non-rewarding environments Pierre Fournier Olivier Sigaud Cédric Colas Mohamed Chetouani OffRL 87 26 0 28 Jan 2019
Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift Carles Gelada Marc G. Bellemare OffRL 76 99 0 27 Jan 2019
Distributed Learning of Decentralized Control Policies for Articulated Mobile Robots Guillaume Sartoretti William Paivine Yunfei Shi Yue Wu Howie Choset 54 55 0 24 Jan 2019
Combinational Q-Learning for Dou Di Zhu Yang You Liangwei Li B. Guo Weiming Wang Cewu Lu OffRL 61 13 0 24 Jan 2019
Thirty Years of Machine Learning: The Road to Pareto-Optimal Wireless Networks Jingjing Wang Chunxiao Jiang Haijun Zhang Yong Ren Kwang-Cheng Chen L. Hanzo 56 38 0 24 Jan 2019
Evolutionarily-Curated Curriculum Learning for Deep Reinforcement Learning Agents M. Green Benjamin Sergent P. Shandilya Vibhor Kumar 61 7 0 16 Jan 2019
Comparing Knowledge-based Reinforcement Learning to Neural Networks in a Strategy Game L. Nechepurenko Viktor Voss V. Gritsenko OffRL 36 6 0 15 Jan 2019
A Deep Recurrent Q Network towards Self-adapting Distributed Microservices architecture Basel Magableh 53 16 0 13 Jan 2019
Exploring applications of deep reinforcement learning for real-world autonomous driving systems V. Talpaert Ibrahim Sobh Ravi Kiran Patrick Mannion S. Yogamani Ahmad El-Sallab P. Pérez 70 74 0 06 Jan 2019
QFlow: A Learning Approach to High QoE Video Streaming at the Wireless Edge Rajarshi Bhattacharyya Archana Bura Desik Rengarajan Mason Rumuly Bainan Xia S. Shakkottai D. Kalathil Ricky K. P. Mok A. Dhamdhere 26 17 0 04 Jan 2019
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications Thanh Thi Nguyen Ngoc Duy Nguyen S. Nahavandi 139 794 0 31 Dec 2018
Learn to Interpret Atari Agents Zhao Yang S. Bai Li Zhang Philip Torr 80 29 0 29 Dec 2018
Deconfounding Reinforcement Learning in Observational Settings Chaochao Lu Bernhard Schölkopf José Miguel Hernández-Lobato CML OOD 173 75 0 26 Dec 2018
Information-Directed Exploration for Deep Reinforcement Learning Nikolay Nikolov Johannes Kirschner Felix Berkenkamp Andreas Krause 67 72 0 18 Dec 2018
A Survey of Safety and Trustworthiness of Deep Neural Networks: Verification, Testing, Adversarial Attack and Defence, and Interpretability Xiaowei Huang Daniel Kroening Wenjie Ruan Marta Kwiatkowska Youcheng Sun Emese Thamo Min Wu Xinping Yi AAML 132 51 0 18 Dec 2018
Double Deep Q-Learning for Optimal Execution Brian Ning Franco Ho Ting Ling S. Jaimungal OffRL 60 81 0 17 Dec 2018
Dopamine: A Research Framework for Deep Reinforcement Learning Pablo Samuel Castro Subhodeep Moitra Carles Gelada Saurabh Kumar Marc G. Bellemare OffRL 84 279 0 14 Dec 2018
Exploration Conscious Reinforcement Learning Revisited Lior Shani Yonathan Efroni Shie Mannor 62 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 99 80 0 12 Dec 2018
Off-Policy Deep Reinforcement Learning without Exploration Scott Fujimoto David Meger Doina Precup OffRL BDL 299 1,626 0 07 Dec 2018
Measuring and Characterizing Generalization in Deep Reinforcement Learning Sam Witty Jun Ki Lee Emma Tosch Akanksha Atrey Michael Littman David D. Jensen OffRL 68 60 0 07 Dec 2018
Deep Reinforcement Learning and the Deadly Triad H. V. Hasselt Yotam Doron Florian Strub Matteo Hessel Nicolas Sonnerat Joseph Modayil OffRL 115 232 0 06 Dec 2018
Active Deep Q-learning with Demonstration Si-An Chen Voot Tangkaratt Hsuan-Tien Lin Masashi Sugiyama 48 33 0 06 Dec 2018
Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without Catastrophic Forgetting C. Atkinson B. McCane Lech Szymanski Anthony Robins VLM CLL 81 103 0 06 Dec 2018
Bach2Bach: Generating Music Using A Deep Reinforcement Learning Approach Nikhil Kotecha 80 11 0 03 Dec 2018
Revisiting the Softmax Bellman Operator: New Benefits and New Perspective Zhao Song Ronald E. Parr Lawrence Carin 55 4 0 02 Dec 2018
An Introduction to Deep Reinforcement Learning Vincent François-Lavet Peter Henderson Riashat Islam Marc G. Bellemare Joelle Pineau OffRL AI4CE 173 1,279 0 30 Nov 2018
Flow Shape Design for Microfluidic Devices Using Deep Reinforcement Learning Xian Yeow Lee Aditya Balu D. Stoecklein Baskar Ganapathysubramanian Soumik Sarkar AI4CE 46 13 0 29 Nov 2018
Deep Reinforcement Learning for Autonomous Driving Sen Wang Daoyuan Jia Xinshuo Weng 78 165 0 28 Nov 2018
Optimization of Information-Seeking Dialogue Strategy for Argumentation-Based Dialogue System Hisao Katsumi Takuya Hiraoka Koichiro Yoshino Kazeto Yamamoto Shota Motoura Kunihiko Sadamasa Satoshi Nakamura 30 5 0 26 Nov 2018
Learning to Activate Relay Nodes: Deep Reinforcement Learning Approach Minhae Kwon Juhyeon Lee Hyunggon Park 6 1 0 24 Nov 2018
Urban Driving with Multi-Objective Deep Reinforcement Learning Changjian Li Krzysztof Czarnecki 77 73 0 21 Nov 2018
Analysing Results from AI Benchmarks: Key Indicators and How to Obtain Them Fernando Martínez-Plumed José Hernández-Orallo 45 39 0 20 Nov 2018