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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
Criticality-Based Varying Step-Number Algorithm for Reinforcement Learning Yitzhak Spielberg A. Azaria 45 0 0 13 Jan 2022
SmartDet: Context-Aware Dynamic Control of Edge Task Offloading for Mobile Object Detection Davide Callegaro Francesco Restuccia Marco Levorato 58 4 0 11 Jan 2022
Benchmarking Deep Reinforcement Learning Algorithms for Vision-based Robotics Swagat Kumar Hayden Sampson Ardhendu Behera 38 0 0 11 Jan 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems Jack Parker-Holder Raghunandan Rajan Xingyou Song André Biedenkapp Yingjie Miao ... Vu-Linh Nguyen Roberto Calandra Aleksandra Faust Frank Hutter Marius Lindauer AI4CE 112 107 0 11 Jan 2022
Mirror Learning: A Unifying Framework of Policy Optimisation J. Kuba Christian Schroeder de Witt Jakob N. Foerster 178 27 0 07 Jan 2022
A Generalized Bootstrap Target for Value-Learning, Efficiently Combining Value and Feature Predictions Anthony GX-Chen Veronica Chelu Blake A. Richards Joelle Pineau TTA 50 1 0 05 Jan 2022
Hybrid intelligence for dynamic job-shop scheduling with deep reinforcement learning and attention mechanism Yu-jian Zeng Zijun Liao Y. Dai Rong Wang Xiu Li Bo Yuan 47 14 0 03 Jan 2022
A Surrogate-Assisted Controller for Expensive Evolutionary Reinforcement Learning Yuxing Wang Tiantian Zhang Yongzhe Chang Bin Liang Xueqian Wang Bo Yuan 88 17 0 01 Jan 2022
An Intelligent Self-driving Truck System For Highway Transportation Dawei Wang Lingping Gao Ziquan Lan Wei Li Jiaping Ren ... Pei-Ting Zhou Shengao Wang Jia Pan Tianyi Zhou Ruigang Yang 47 14 0 31 Dec 2021
Constraint Sampling Reinforcement Learning: Incorporating Expertise For Faster Learning Tong Mu Georgios Theocharous David Arbour Emma Brunskill 71 6 0 30 Dec 2021
Multi-Agent Reinforcement Learning via Adaptive Kalman Temporal Difference and Successor Representation Mohammad Salimibeni Arash Mohammadi Parvin Malekzadeh Konstantinos N. Plataniotis 50 5 0 30 Dec 2021
Intelligent Traffic Light via Policy-based Deep Reinforcement Learning Yue Zhu Mingyu Cai C. Schwarz Junchao Li Shaoping Xiao 74 13 0 27 Dec 2021
A Graph Attention Learning Approach to Antenna Tilt Optimization Yifei Jin Filippo Vannella Maxime Bouton Jaeseong Jeong Ezeddin Al Hakim 62 10 0 27 Dec 2021
Local Advantage Networks for Cooperative Multi-Agent Reinforcement Learning Raphael Avalos Mathieu Reymond Ann Nowé D. Roijers OffRL 61 6 0 23 Dec 2021
Safety and Liveness Guarantees through Reach-Avoid Reinforcement Learning Kai Hsu Vicencc Rubies-Royo Claire Tomlin J. F. Fisac 80 68 0 23 Dec 2021
Value Activation for Bias Alleviation: Generalized-activated Deep Double Deterministic Policy Gradients Jiafei Lyu Yu Yang Jiangpeng Yan Xiu Li OffRL AI4CE 73 7 0 21 Dec 2021
DB-BERT: a Database Tuning Tool that "Reads the Manual" Immanuel Trummer 65 64 0 21 Dec 2021
Optimization for Master-UAV-powered Auxiliary-Aerial-IRS-assisted IoT Networks: An Option-based Multi-agent Hierarchical Deep Reinforcement Learning Approach Jingren Xu Xin Kang Ronghaixiang Zhang Ying-Chang Liang Sumei Sun 29 17 0 20 Dec 2021
RoboAssembly: Learning Generalizable Furniture Assembly Policy in a Novel Multi-robot Contact-rich Simulation Environment Mingxin Yu Lin Shao Zhehuan Chen Tianhao Wu Qingnan Fan Kaichun Mo Hao Dong 90 18 0 19 Dec 2021
Creativity of AI: Hierarchical Planning Model Learning for Facilitating Deep Reinforcement Learning H. Zhuo Shuting Deng M. Jin Zhihao Ma Kebing Jin Chong Chen Chao Yu 115 1 0 18 Dec 2021
Learning Reward Machines: A Study in Partially Observable Reinforcement Learning Rodrigo Toro Icarte Ethan Waldie Toryn Q. Klassen Richard Valenzano Margarita P. Castro Sheila A. McIlraith 30 14 0 17 Dec 2021
On Optimizing Interventions in Shared Autonomy Weihao Tan David Koleczek Siddhant Pradhan Nicholas Perello Vivek Chettiar Vishal Rohra Aaslesha Rajaram Soundararajan Srinivasan H. M. S. Hossain Yash Chandak 92 5 0 16 Dec 2021
Deep Reinforcement Learning Policies Learn Shared Adversarial Features Across MDPs Ezgi Korkmaz 62 26 0 16 Dec 2021
Centralizing State-Values in Dueling Networks for Multi-Robot Reinforcement Learning Mapless Navigation Enrico Marchesini Alessandro Farinelli 56 18 0 16 Dec 2021
Learning from Guided Play: A Scheduled Hierarchical Approach for Improving Exploration in Adversarial Imitation Learning Trevor Ablett Bryan Chan Jonathan Kelly 68 4 0 16 Dec 2021
Automatic tuning of hyper-parameters of reinforcement learning algorithms using Bayesian optimization with behavioral cloning Juan Cruz Barsce J. Palombarini Ernesto C. Martínez OffRL 62 1 0 15 Dec 2021
Tree-based Focused Web Crawling with Reinforcement Learning Andreas Kontogiannis Dimitrios Kelesis Vasilis Pollatos George Giannakopoulos Georgios Paliouras 75 2 0 12 Dec 2021
ElegantRL-Podracer: Scalable and Elastic Library for Cloud-Native Deep Reinforcement Learning Xiao-Yang Liu Zechu Li Zhuoran Yang Jiahao Zheng Zhaoran Wang A. Walid Jian Guo Michael I. Jordan 74 25 0 11 Dec 2021
Recent Advances in Reinforcement Learning in Finance B. Hambly Renyuan Xu Huining Yang OffRL 126 180 0 08 Dec 2021
A Review for Deep Reinforcement Learning in Atari:Benchmarks, Challenges, and Solutions Jiajun Fan OffRL 85 21 0 08 Dec 2021
ShinRL: A Library for Evaluating RL Algorithms from Theoretical and Practical Perspectives Toshinori Kitamura Ryo Yonetani OffRL 143 4 0 08 Dec 2021
Hyper-parameter optimization based on soft actor critic and hierarchical mixture regularization Chaoyue Liu Yulai Zhang 21 1 0 08 Dec 2021
JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning Zichuan Lin Junyou Li Jianing Shi Deheng Ye Qiang Fu Wei Yang BDL 78 36 0 07 Dec 2021
Functional Regularization for Reinforcement Learning via Learned Fourier Features Alexander C. Li Deepak Pathak 87 18 0 06 Dec 2021
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View Di Jin Elena Sergeeva W. Weng Geeticka Chauhan Peter Szolovits OOD 120 58 0 05 Dec 2021
Towards Interactive Reinforcement Learning with Intrinsic Feedback Ben Poole Minwoo Lee OffRL 79 1 0 02 Dec 2021
A Generic Graph Sparsification Framework using Deep Reinforcement Learning Ryan Wickman Xiaofei Zhang Weizi Li OffRL 70 13 0 02 Dec 2021
Pessimistic Model Selection for Offline Deep Reinforcement Learning Chao-Han Huck Yang Zhengling Qi Yifan Cui Pin-Yu Chen OffRL 93 4 0 29 Nov 2021
Reinforcement Learning-based Switching Controller for a Milliscale Robot in a Constrained Environment Abbas Tariverdi Ulysse Côté-Allard Kim Mathiassen O. Elle H. Kalvøy Ø. Martinsen J. Tørresen 101 4 0 27 Nov 2021
A Comparative Analysis of Machine Learning Techniques for IoT Intrusion Detection João Vitorino Rui Andrade Isabel Praça Orlando Sousa Eva Maia 92 28 0 25 Nov 2021
Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning Nicolai Dorka Tim Welschehold Joschka Boedecker Wolfram Burgard OffRL 56 9 0 24 Nov 2021
Component Transfer Learning for Deep RL Based on Abstract Representations Geoffrey van Driessel Vincent François-Lavet DRL OffRL 57 6 0 22 Nov 2021
Branching Time Active Inference: empirical study and complexity class analysis Théophile Champion Howard L. Bowman Marek Grze's AI4CE 52 14 0 22 Nov 2021
Branching Time Active Inference: the theory and its generality Théophile Champion Lancelot Da Costa Howard L. Bowman Marek Grze's AI4CE 69 18 0 22 Nov 2021
Renewable energy integration and microgrid energy trading using multi-agent deep reinforcement learning Daniel J. B. Harrold Jun Cao Zhongbo Fan 41 67 0 21 Nov 2021
Vulcan: Solving the Steiner Tree Problem with Graph Neural Networks and Deep Reinforcement Learning Haizhou Du Zong Yan Qiao Xiang Qinqing Zhan GNN 80 6 0 21 Nov 2021
Towards Return Parity in Markov Decision Processes Jianfeng Chi Jian Shen Xinyi Dai Weinan Zhang Yuan Tian Han Zhao 64 14 0 19 Nov 2021
SpeedyIBL: A Comprehensive, Precise, and Fast Implementation of Instance-Based Learning Theory T. Nguyen D. Phan Cleotilde Gonzalez 24 16 0 19 Nov 2021
Fast and Data-Efficient Training of Rainbow: an Experimental Study on Atari Dominik Schmidt Thomas Schmied OffRL 61 12 0 19 Nov 2021
Enhancing the Insertion of NOP Instructions to Obfuscate Malware via Deep Reinforcement Learning Daniel Gibert Matt Fredrikson Carles Mateu Jordi Planes Quan Le 47 11 0 18 Nov 2021