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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
Age of Information-Aware Radio Resource Management in Vehicular Networks: A Proactive Deep Reinforcement Learning Perspective Xianfu Chen Celimuge Wu Tao Chen Honggang Zhang Zhi Liu Yan Zhang M. Bennis 104 140 0 06 Aug 2019
A View on Deep Reinforcement Learning in System Optimization Ameer Haj-Ali Nesreen Ahmed Theodore L. Willke Joseph E. Gonzalez Krste Asanović Ion Stoica OffRL 63 8 0 04 Aug 2019
Reinforcement Learning for Personalized Dialogue Management Floris den Hengst Mark Hoogendoorn F. V. Harmelen Joost Bosman OffRL 28 20 0 01 Aug 2019
PrecoderNet: Hybrid Beamforming for Millimeter Wave Systems with Deep Reinforcement Learning Qisheng Wang Keming Feng Xiao Li Shi Jin 13 8 0 31 Jul 2019
Learn to Allocate Resources in Vehicular Networks Liang Wang Hao Ye Le Liang Geoffrey Ye Li 25 0 0 30 Jul 2019
Deep Reinforcement Learning for Personalized Search Story Recommendation Jason Zhang Zhang Junming Yin Dongwon Lee Linhong Zhu 45 2 0 26 Jul 2019
A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment Felix Leibfried Sergio Pascual-Diaz Jordi Grau-Moya 110 29 0 26 Jul 2019
Google Research Football: A Novel Reinforcement Learning Environment Karol Kurach Anton Raichuk Piotr Stańczyk Michal Zajac Olivier Bachem ... C. Riquelme Damien Vincent Marcin Michalski Olivier Bousquet Sylvain Gelly 193 410 0 25 Jul 2019
Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges Lei Lei Yue Tan Kan Zheng Shiwen Liu K. Zheng Xuemin Shen Shen OffRL 89 204 0 22 Jul 2019
Accelerating Reinforcement Learning through GPU Atari Emulation Steven Dalton I. Frosio M. Garland ELM 58 9 0 19 Jul 2019
Convergence of Edge Computing and Deep Learning: A Comprehensive Survey Xiaofei Wang Yiwen Han Victor C. M. Leung Dusit Niyato Xueqiang Yan Xu Chen 102 1,002 0 19 Jul 2019
Prioritized Guidance for Efficient Multi-Agent Reinforcement Learning Exploration Qisheng Wang Qichao Wang 27 1 0 18 Jul 2019
Proximal Policy Optimization with Mixed Distributed Training Zhenyu Zhang Xiangfeng Luo Tong Liu Shaorong Xie Jianshu Wang Wei Wang Yongbin Li Yan Peng OffRL 41 21 0 15 Jul 2019
Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling Yuping Luo Huazhe Xu Tengyu Ma SSL 87 13 0 12 Jul 2019
Safe Policy Improvement with Soft Baseline Bootstrapping Kimia Nadjahi Romain Laroche Rémi Tachet des Combes OffRL 70 36 0 11 Jul 2019
Deep Reinforcement-Learning-based Driving Policy for Autonomous Road Vehicles Konstantinos Makantasis Maria Kontorinaki I. Nikolos 36 33 0 10 Jul 2019
An Optimistic Perspective on Offline Reinforcement Learning Rishabh Agarwal Dale Schuurmans Mohammad Norouzi OffRL OnRL 109 70 0 10 Jul 2019
Deep Active Inference as Variational Policy Gradients Beren Millidge BDL 92 103 0 08 Jul 2019
General non-linear Bellman equations H. V. Hasselt John Quan Matteo Hessel Zhongwen Xu Diana Borsa André Barreto 52 14 0 08 Jul 2019
Deep Learning based Wireless Resource Allocation with Application to Vehicular Networks Le Liang Hao Ye Guanding Yu Geoffrey Ye Li 71 200 0 07 Jul 2019
On Inductive Biases in Deep Reinforcement Learning Matteo Hessel H. V. Hasselt Joseph Modayil David Silver AI4CE 83 41 0 05 Jul 2019
Exploiting Prunability for Person Re-Identification Hugo Masson Amran Bhuiyan Le Thanh Nguyen-Meidine Mehrsan Javan P. Siva Ismail Ben Ayed Eric Granger 67 9 0 04 Jul 2019
Co-training for Policy Learning Jialin Song Ravi Lanka Yisong Yue M. Ono OffRL 59 20 0 03 Jul 2019
Learning the Arrow of Time Nasim Rahaman Steffen Wolf Anirudh Goyal Roman Remme Yoshua Bengio 61 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 157 343 0 30 Jun 2019
Hyp-RL : Hyperparameter Optimization by Reinforcement Learning H. Jomaa Josif Grabocka Lars Schmidt-Thieme 87 65 0 27 Jun 2019
Policy Optimization with Stochastic Mirror Descent Long Yang Yu Zhang Gang Zheng Qian Zheng Pengfei Li Jianhang Huang Jun Wen Gang Pan 128 34 0 25 Jun 2019
Multi-Agent Deep Reinforcement Learning for Liquidation Strategy Analysis Wenhang Bao Xiao-Yang Liu AIFin 84 43 0 24 Jun 2019
Modern Deep Reinforcement Learning Algorithms Sergey Ivanov A. Dýakonov OffRL 61 39 0 24 Jun 2019
In Hindsight: A Smooth Reward for Steady Exploration H. Jomaa Josif Grabocka Lars Schmidt-Thieme 20 0 0 24 Jun 2019
Optimal Use of Experience in First Person Shooter Environments Matthew Aitchison 37 2 0 24 Jun 2019
Ranking Policy Gradient Kaixiang Lin Jiayu Zhou OffRL 67 7 0 24 Jun 2019
Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction Fengda Zhu Xiaojun Chang Runhao Zeng Mingkui Tan CLL 52 3 0 21 Jun 2019
A Deep Reinforcement Learning Approach for Global Routing Haiguang Liao Wentai Zhang Xuliang Dong Barnabás Póczós K. Shimada Levent Burak Kara 57 84 0 20 Jun 2019
Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning Liang Tong Aron Laszka Chao Yan Ning Zhang Yevgeniy Vorobeychik AAML 54 18 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 53 9 0 20 Jun 2019
A Hierarchical Architecture for Sequential Decision-Making in Autonomous Driving using Deep Reinforcement Learning Majid Moghadam G. Elkaim 61 18 0 20 Jun 2019
Experience Replay Optimization Daochen Zha Kwei-Herng Lai Kaixiong Zhou Helen Zhou OffRL 59 105 0 19 Jun 2019
Directed Exploration for Reinforcement Learning Z. Guo Emma Brunskill 71 12 0 18 Jun 2019
Language as an Abstraction for Hierarchical Deep Reinforcement Learning Yiding Jiang S. Gu Kevin Patrick Murphy Chelsea Finn OffRL 69 225 0 18 Jun 2019
Injecting Prior Knowledge for Transfer Learning into Reinforcement Learning Algorithms using Logic Tensor Networks Samy Badreddine Michael Spranger OffRL 51 14 0 15 Jun 2019
Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards Gerrit Schoettler Ashvin Nair Jianlan Luo Shikhar Bahl J. A. Ojea Eugen Solowjow Sergey Levine OffRL 59 192 0 13 Jun 2019
Deep Reinforcement Learning for Cyber Security Thanh Thi Nguyen Vijay Janapa Reddi OffRL AI4CE 115 334 0 13 Jun 2019
When to use parametric models in reinforcement learning? H. V. Hasselt Matteo Hessel John Aslanides 87 196 0 12 Jun 2019
Deep Reinforcement Learning for Unmanned Aerial Vehicle-Assisted Vehicular Networks M. Zhu Xiao-Yang Liu Xiaodong Wang 159 16 0 12 Jun 2019
Boosting Soft Actor-Critic: Emphasizing Recent Experience without Forgetting the Past Che Wang George Andriopoulos 51 45 0 10 Jun 2019
Deep Reinforcement Learning with Discrete Normalized Advantage Functions for Resource Management in Network Slicing Chen Qi Yuxiu Hua Rongpeng Li Zhifeng Zhao Honggang Zhang 73 68 0 10 Jun 2019
Relaxed Parameter Sharing: Effectively Modeling Time-Varying Relationships in Clinical Time-Series Jeeheh Oh Jiaxuan Wang Shengpu Tang Michael Sjoding Jenna Wiens OOD 45 12 0 07 Jun 2019
Improving Exploration in Soft-Actor-Critic with Normalizing Flows Policies Patrick Nadeem Ward Ariella Smofsky A. Bose 79 58 0 06 Jun 2019
Clustered Reinforcement Learning Xiao Ma Shen-Yi Zhao Wu-Jun Li OffRL 64 6 0 06 Jun 2019