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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
Cross Learning in Deep Q-Networks Xing Wang A. Vinel 25 2 0 29 Sep 2020
Novelty Search in Representational Space for Sample Efficient Exploration Ruo Yu Tao Vincent François-Lavet Joelle Pineau 90 45 0 28 Sep 2020
Scheduling and Power Control for Wireless Multicast Systems via Deep Reinforcement Learning R. Raghu M. Panju Vaneet Aggarwal V. Sharma 58 4 0 27 Sep 2020
SEMI: Self-supervised Exploration via Multisensory Incongruity Jianren Wang Ziwen Zhuang Hang Zhao SSL 41 1 0 26 Sep 2020
A New Approach for Tactical Decision Making in Lane Changing: Sample Efficient Deep Q Learning with a Safety Feedback Reward U. Yavas T. Kumbasar N. K. Üre 64 19 0 24 Sep 2020
Multi-Agent Deep Reinforcement Learning Based Trajectory Planning for Multi-UAV Assisted Mobile Edge Computing Liang Wang Kezhi Wang Cunhua Pan Wenyuan Xu N. Aslam L. Hanzo 61 287 0 23 Sep 2020
Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion Xingye Da Zhaoming Xie David Hoeller Byron Boots Anima Anandkumar Yuke Zhu Buck Babich Animesh Garg 108 58 0 21 Sep 2020
CMAX++ : Leveraging Experience in Planning and Execution using Inaccurate Models Anirudh Vemula J. Andrew Bagnell Maxim Likhachev 85 9 0 21 Sep 2020
Deep Reinforcement Learning Methods for Structure-Guided Processing Path Optimization Johannes Dornheim L. Morand Samuel Zeitvogel Tarek Iraki Norbert Link Dirk Helm 55 21 0 21 Sep 2020
Towards Interpretable-AI Policies Induction using Evolutionary Nonlinear Decision Trees for Discrete Action Systems Yashesh D. Dhebar Kalyanmoy Deb S. Nageshrao Ling Zhu Dimitar Filev 68 16 0 20 Sep 2020
Lyapunov-Based Reinforcement Learning for Decentralized Multi-Agent Control Qingrui Zhang Hao Dong Wei Pan 37 7 0 20 Sep 2020
Efficient Reinforcement Learning Development with RLzoo Zihan Ding Tianyang Yu Yanhua Huang Hongming Zhang Guo Li Quancheng Guo Kai Zou Hao Dong OffRL OnRL 32 6 0 18 Sep 2020
Reconstructing Actions To Explain Deep Reinforcement Learning Xuan Chen Zifan Wang Yucai Fan Bonan Jin Piotr (Peter) Mardziel Carlee Joe-Wong Anupam Datta FAtt 50 2 0 17 Sep 2020
Energy-based Surprise Minimization for Multi-Agent Value Factorization Karush Suri Xiaolong Shi Konstantinos Plataniotis Y. Lawryshyn 56 1 0 16 Sep 2020
Soft policy optimization using dual-track advantage estimator Yubo Huang Xuechun Wang Luobao Zou Zhiwei Zhuang Weidong Zhang 21 3 0 15 Sep 2020
The Importance of Pessimism in Fixed-Dataset Policy Optimization Jacob Buckman Carles Gelada Marc G. Bellemare OffRL 116 139 0 15 Sep 2020
VacSIM: Learning Effective Strategies for COVID-19 Vaccine Distribution using Reinforcement Learning R. Awasthi K. K. Guliani Saif Ahmad Khan Aniket Vashishtha M. S. Gill Arshita Bhatt A. Nagori Aniket Gupta Ponnurangam Kumaraguru Tavpritesh Sethi 98 24 0 14 Sep 2020
COVID-19 Pandemic Cyclic Lockdown Optimization Using Reinforcement Learning M. Arango Lyudmil Pelov 54 17 0 10 Sep 2020
Induction and Exploitation of Subgoal Automata for Reinforcement Learning Daniel Furelos-Blanco Mark Law Anders Jonsson Krysia Broda A. Russo 48 31 0 08 Sep 2020
Evolutionary Reinforcement Learning via Cooperative Coevolutionary Negatively Correlated Search Hu Zhang Peng Yang Yang Yu Mingjiang Li K. Tang 126 21 0 08 Sep 2020
Visualizing the Loss Landscape of Actor Critic Methods with Applications in Inventory Optimization Recep Yusuf Bekci M. Gümüş 29 4 0 04 Sep 2020
Latency and Throughput Optimization in Modern Networks: A Comprehensive Survey A. Mirzaeinia Mehdi Mirzaeinia A. Rezgui 51 6 0 01 Sep 2020
Dynamic Scheduling for Stochastic Edge-Cloud Computing Environments using A3C learning and Residual Recurrent Neural Networks Shreshth Tuli Shashikant Ilager K. Ramamohanarao Rajkumar Buyya 69 179 0 01 Sep 2020
Human-in-the-Loop Methods for Data-Driven and Reinforcement Learning Systems Vinicius G. Goecks 115 11 0 30 Aug 2020
CLAN: Continuous Learning using Asynchronous Neuroevolution on Commodity Edge Devices Parth Mannan A. Samajdar T. Krishna 58 2 0 27 Aug 2020
DMRO:A Deep Meta Reinforcement Learning-based Task Offloading Framework for Edge-Cloud Computing Guanjin Qu Huaming Wu OffRL 77 185 0 23 Aug 2020
Communicative Reinforcement Learning Agents for Landmark Detection in Brain Images Guy Leroy Daniel Rueckert A. Alansary OffRL 46 19 0 18 Aug 2020
A Survey of Deep Learning for Data Caching in Edge Network Yantong Wang V. Friderikos 90 28 0 17 Aug 2020
Generative Design by Reinforcement Learning: Enhancing the Diversity of Topology Optimization Designs Seowoo Jang Soyoung Yoo Namwoo Kang AI4CE 101 74 0 17 Aug 2020
An adaptive synchronization approach for weights of deep reinforcement learning S. Badran M. Rezghi 23 0 0 16 Aug 2020
Chrome Dino Run using Reinforcement Learning Divyanshu Marwah S. Srivastava Anusha Gupta S. Verma AI4CE 8 2 0 15 Aug 2020
Reinforcement Learning with Quantum Variational Circuits Owen Lockwood Mei Si 75 140 0 15 Aug 2020
Decision-making at Unsignalized Intersection for Autonomous Vehicles: Left-turn Maneuver with Deep Reinforcement Learning Feng Wang Dongjie Shi Teng Liu Xiaolin Tang 115 14 0 14 Aug 2020
Robust Image Matching By Dynamic Feature Selection Hao Huang Jianchun Chen Xiang Li Lingjing Wang Yi Fang 128 3 0 13 Aug 2020
Bilevel Learning Model Towards Industrial Scheduling Longkang Li Hui-Ling Zhen Mingxuan Yuan Jiawen Lu Xialiang Tong Jia Zeng Jun Wang D. Schnieders AI4CE 21 1 0 10 Aug 2020
Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices Emmy Liu Aditi Raghunathan Percy Liang Chelsea Finn OffRL 120 67 0 06 Aug 2020
Deep reinforcement learning to detect brain lesions on MRI: a proof-of-concept application of reinforcement learning to medical images J. Stember H. Shalu MedIm 58 14 0 06 Aug 2020
Deep Q-Network Based Multi-agent Reinforcement Learning with Binary Action Agents A. M. Hafiz G. M. Bhat AI4CE 45 3 0 06 Aug 2020
Deep Reinforcement Learning for Tactile Robotics: Learning to Type on a Braille Keyboard Alex Church John Lloyd R. Hadsell Nathan Lepora 80 31 0 06 Aug 2020
Robust Deep Reinforcement Learning through Adversarial Loss Tuomas P. Oikarinen Wang Zhang Alexandre Megretski Luca Daniel Tsui-Wei Weng AAML 88 97 0 05 Aug 2020
Deep Inverse Q-learning with Constraints Gabriel Kalweit M. Huegle M. Werling Joschka Boedecker BDL 52 33 0 04 Aug 2020
EasyRL: A Simple and Extensible Reinforcement Learning Framework Neil Hulbert S. Spillers Brandon Francis James Haines-Temons Ken Gil Romero Benjamin De Jager Sam Wong Kevin Flora Bowei Huang Athirai Aravazhi Irissappane OffRL OnRL SyDa 32 1 0 04 Aug 2020
Exploring Variational Deep Q Networks A. H. Bell-Thomas 13 0 0 04 Aug 2020
A Comparative Analysis of Deep Reinforcement Learning-enabled Freeway Decision-making for Automated Vehicles Teng Liu Yuyou Yang Wenxuan Xiao Xiaolin Tang Mingzhu Yin 60 5 0 04 Aug 2020
Reinforced Epidemic Control: Saving Both Lives and Economy Sirui Song Zefang Zong Yong Li Xue Liu Yang Yu 43 27 0 04 Aug 2020
Proximal Deterministic Policy Gradient Marco Maggipinto Gian Antonio Susto Pratik Chaudhari OffRL 36 5 0 03 Aug 2020
Deep-Reinforcement-Learning-Based Semantic Navigation of Mobile Robots in Dynamic Environments Linh Kästner Cornelius Marx Jens Lambrecht 66 18 0 02 Aug 2020
V2I Connectivity-Based Dynamic Queue-Jump Lane for Emergency Vehicles: A Deep Reinforcement Learning Approach Haoran Su Kejian Shi Li Jin Joseph Y. J. Chow 50 0 0 01 Aug 2020
Moody Learners -- Explaining Competitive Behaviour of Reinforcement Learning Agents Pablo V. A. Barros Ana Tanevska Francisco Cruz A. Sciutti 64 13 0 30 Jul 2020
Searching Collaborative Agents for Multi-plane Localization in 3D Ultrasound Yuhao Huang Xin Yang Rui Li Jikuan Qian Xiaoqiong Huang ... Yuanji Zhang H. Luo Alejandro Frangi Yi Xiong Dong Ni 46 18 0 30 Jul 2020