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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
Efficient Bimanual Manipulation Using Learned Task Schemas Rohan Chitnis Shubham Tulsiani Saurabh Gupta Abhinav Gupta 90 75 0 30 Sep 2019
RLCache: Automated Cache Management Using Reinforcement Learning Sami Alabed 43 4 0 30 Sep 2019
Dynamic Interaction-Aware Scene Understanding for Reinforcement Learning in Autonomous Driving M. Huegle Gabriel Kalweit M. Werling Joschka Boedecker 3DPC 55 37 0 30 Sep 2019
Composite Q-learning: Multi-scale Q-function Decomposition and Separable Optimization Gabriel Kalweit M. Huegle Joschka Boedecker OffRL 36 5 0 30 Sep 2019
Stabilizing Generative Adversarial Networks: A Survey Maciej Wiatrak Stefano V. Albrecht A. Nystrom GAN 132 87 0 30 Sep 2019
Deep Coordination Graphs Wendelin Bohmer Vitaly Kurin Shimon Whiteson GNN 92 180 0 27 Sep 2019
Deep Reinforcement Learning Based Power control for Wireless Multicast Systems R. Raghu Pratheek S. Upadhyaya M. Panju Vaneet Aggarwal V. Sharma 25 11 0 27 Sep 2019
CAQL: Continuous Action Q-Learning Moonkyung Ryu Yinlam Chow Ross Anderson Christian Tjandraatmadja Craig Boutilier 286 43 0 26 Sep 2019
Relationship Explainable Multi-objective Reinforcement Learning with Semantic Explainability Generation Huixin Zhan Yongcan Cao 61 2 0 26 Sep 2019
Harnessing Structures for Value-Based Planning and Reinforcement Learning Yuzhe Yang Guo Zhang Zhi Xu Dina Katabi OffRL 87 33 0 26 Sep 2019
Off-Policy Actor-Critic with Shared Experience Replay Simon Schmitt Matteo Hessel Karen Simonyan OffRL 80 68 0 25 Sep 2019
Multi-task Batch Reinforcement Learning with Metric Learning Jiachen Li Q. Vuong Shuang Liu Minghua Liu K. Ciosek George Andriopoulos Henrik I. Christensen H. Su OffRL 65 2 0 25 Sep 2019
Controlling an Autonomous Vehicle with Deep Reinforcement Learning A. Folkers Matthias Rick C. Büskens 73 67 0 24 Sep 2019
Deep Reinforcement Learning with Modulated Hebbian plus Q Network Architecture Pawel Ladosz Eseoghene Ben-Iwhiwhu Jeffery Dick Yang Hu Nicholas A. Ketz Soheil Kolouri J. Krichmar Praveen K. Pilly Andrea Soltoggio 138 19 0 21 Sep 2019
Learning Multi-Robot Decentralized Macro-Action-Based Policies via a Centralized Q-Net Yuchen Xiao Joshua Hoffman Tian Xia Chris Amato 81 28 0 19 Sep 2019
Segregation Dynamics with Reinforcement Learning and Agent Based Modeling Egemen Sert Y. Bar-Yam A. Morales 87 40 0 18 Sep 2019
Automated Lane Change Decision Making using Deep Reinforcement Learning in Dynamic and Uncertain Highway Environment Ali Alizadeh Majid Moghadam Yunus Bicer N. K. Üre M. U. Yavas C. Kurtulus 84 99 0 18 Sep 2019
Learning Index Selection with Structured Action Spaces Jeremy Welborn Michael Schaarschmidt Eiko Yoneki 32 10 0 16 Sep 2019
Selfie Drone Stick: A Natural Interface for Quadcopter Photography Saif Alabachi G. Sukthankar Rahul Sukthankar 23 0 0 14 Sep 2019
ISL: A novel approach for deep exploration Lucas Cassano Ali H. Sayed 29 1 0 13 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 84 94 0 12 Sep 2019
Safe Policy Improvement with an Estimated Baseline Policy T. D. Simão Romain Laroche Rémi Tachet des Combes OffRL 52 22 0 11 Sep 2019
Mutual-Information Regularization in Markov Decision Processes and Actor-Critic Learning Felix Leibfried Jordi Grau-Moya 74 22 0 11 Sep 2019
Discovery of Useful Questions as Auxiliary Tasks Vivek Veeriah Matteo Hessel Zhongwen Xu Richard L. Lewis Janarthanan Rajendran Junhyuk Oh H. V. Hasselt David Silver Satinder Singh LLMAG 81 85 0 10 Sep 2019
Self-driving scale car trained by Deep reinforcement learning Qi Zhang Tao Du Changzheng Tian SSL LRM 75 26 0 08 Sep 2019
Deep Reinforcement Learning for Control of Probabilistic Boolean Networks Georgios Papagiannis S. Moschoyiannis AI4CE BDL 46 22 0 07 Sep 2019
Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning Wenjie Shi Shiji Song Hui Wu Yachu Hsu Cheng Wu Gao Huang 31 26 0 07 Sep 2019
Multi Pseudo Q-learning Based Deterministic Policy Gradient for Tracking Control of Autonomous Underwater Vehicles Wenjie Shi Senior Member Ieee Shiji Song Cheng Wu F. I. C. L. Philip Chen 44 81 0 07 Sep 2019
Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information Yiren Zhao Ilia Shumailov Han Cui Xitong Gao Robert D. Mullins Ross J. Anderson AAML 82 28 0 06 Sep 2019
Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents Xian Yeow Lee Sambit Ghadai Kai Liang Tan Chinmay Hegde Soumik Sarkar AAML 78 52 0 05 Sep 2019
Classification with Costly Features as a Sequential Decision-Making Problem Jaromír Janisch Tomás Pevný Viliam Lisý OffRL 58 31 0 05 Sep 2019
Toward Sim-to-Real Directional Semantic Grasping Shariq Iqbal Jonathan Tremblay Thang To Jia Cheng Erik Leitch Andy Campbell Kirby Leung Duncan McKay Stan Birchfield 70 4 0 04 Sep 2019
rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch Adam Stooke Pieter Abbeel OffRL 77 98 0 03 Sep 2019
Approximating two value functions instead of one: towards characterizing a new family of Deep Reinforcement Learning algorithms M. Sabatelli Gilles Louppe Pierre Geurts M. Wiering OffRL 15 0 0 01 Sep 2019
Exploration-Enhanced POLITEX Yasin Abbasi-Yadkori N. Lazić Csaba Szepesvári Gellert Weisz 76 23 0 27 Aug 2019
Ensemble-Based Deep Reinforcement Learning for Chatbots Heriberto Cuayáhuitl Donghyeon Lee Seonghan Ryu Yongjin Cho Sungja Choi Satish Reddy Indurthi Seunghak Yu Hyungtak Choi Inchul Hwang J. Kim OffRL 70 69 0 27 Aug 2019
Continuous Value Iteration (CVI) Reinforcement Learning and Imaginary Experience Replay (IER) for learning multi-goal, continuous action and state space controllers Andreas Gerken Michael Spranger 28 8 0 27 Aug 2019
Tutorial and Survey on Probabilistic Graphical Model and Variational Inference in Deep Reinforcement Learning Xudong Sun B. Bischl BDL 67 9 0 25 Aug 2019
Reinforcement Learning in Healthcare: A Survey Chao Yu Jiming Liu S. Nemati LM&MA OffRL 200 579 0 22 Aug 2019
A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation Runzhe Yang Xingyuan Sun Karthik Narasimhan 84 258 0 21 Aug 2019
Performing Deep Recurrent Double Q-Learning for Atari Games Felipe Moreno-Vera 51 22 0 16 Aug 2019
Deep reinforcement learning in World-Earth system models to discover sustainable management strategies Felix M. Strnad W. Barfuss J. Donges J. Heitzig 50 25 0 15 Aug 2019
Is Deep Reinforcement Learning Really Superhuman on Atari? Leveling the playing field Marin Toromanoff É. Wirbel Fabien Moutarde OffRL 91 25 0 13 Aug 2019
From Crystallized Adaptivity to Fluid Adaptivity in Deep Reinforcement Learning -- Insights from Biological Systems on Adaptive Flexibility M. Schilling Helge J. Ritter F. Ohl AI4CE 41 4 0 13 Aug 2019
A review on Deep Reinforcement Learning for Fluid Mechanics Paul Garnier J. Viquerat Jean Rabault A. Larcher A. Kuhnle E. Hachem AI4CE 78 265 0 12 Aug 2019
Learn to Compress CSI and Allocate Resources in Vehicular Networks Liang Wang Hao Ye Le Liang Geoffrey Ye Li 47 40 0 12 Aug 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning Afshin Oroojlooyjadid Davood Hajinezhad 120 437 0 11 Aug 2019
Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Xiaoqiang Wang Liangjun Ke Zhimin Qiao Xinghua Chai 62 113 0 10 Aug 2019
Behaviour Suite for Reinforcement Learning Ian Osband Yotam Doron Matteo Hessel John Aslanides Eren Sezener ... Satinder Singh Benjamin Van Roy R. Sutton David Silver H. V. Hasselt OffRL 115 183 0 09 Aug 2019
Incremental Reinforcement Learning --- a New Continuous Reinforcement Learning Frame Based on Stochastic Differential Equation methods Tianhao Chen Limei Cheng Yang Liu Wenchuan Jia Shugen Ma 18 4 0 08 Aug 2019