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
Reinforcement Learning for Sampling on Temporal Medical Imaging Sequences Zhishen Huang 36 1 0 28 Aug 2023
Learning Cyber Defence Tactics from Scratch with Multi-Agent Reinforcement Learning Jacob Wiebe Ranwa Al Mallah Li Li AAML 38 3 0 25 Aug 2023
CoMIX: A Multi-agent Reinforcement Learning Training Architecture for Efficient Decentralized Coordination and Independent Decision-Making Giovanni Minelli Mirco Musolesi 40 0 0 21 Aug 2023
Deep Reinforcement Learning for Artificial Upwelling Energy Management Yiyuan Zhang Wei Fan 20 3 0 20 Aug 2023
SMARLA: A Safety Monitoring Approach for Deep Reinforcement Learning Agents Amirhossein Zolfagharian Manel Abdellatif Lionel C. Briand S. Ramesh 37 5 0 03 Aug 2023
Computation Offloading with Multiple Agents in Edge-Computing-Supported IoT Shihao Shen Yiwen Han Xiaofei Wang Yan Wang OffRL 23 79 0 01 Aug 2023
Reinforcement learning guided fuzz testing for a browser's HTML rendering engine Martin Sablotny B. S. Jensen Jeremy Singer 21 0 0 27 Jul 2023
JoinGym: An Efficient Query Optimization Environment for Reinforcement Learning Kaiwen Wang Junxiong Wang Yueying Li Nathan Kallus Immanuel Trummer Wen Sun GP 60 2 0 21 Jul 2023
Machine Learning for SAT: Restricted Heuristics and New Graph Representations Mikhail Shirokikh Ilya Shenbin Anton M. Alekseev Sergey I. Nikolenko NAI 23 0 0 18 Jul 2023
Cramer Type Distances for Learning Gaussian Mixture Models by Gradient Descent Ruichong Zhang 30 0 0 13 Jul 2023
Diffusion Policies for Out-of-Distribution Generalization in Offline Reinforcement Learning S. E. Ada Erhan Öztop Emre Ugur OffRL 56 15 0 10 Jul 2023
A User Study on Explainable Online Reinforcement Learning for Adaptive Systems Andreas Metzger Jan Laufer Felix Feit Klaus Pohl OffRL OnRL 24 1 0 09 Jul 2023
Deep Attention Q-Network for Personalized Treatment Recommendation Simin Ma Junghwan Lee N. Serban Shihao Yang OffRL 40 5 0 04 Jul 2023
Human-like Decision-making at Unsignalized Intersection using Social Value Orientation Yan Tong Licheng Wen Pinlong Cai Daocheng Fu Song Mao Yikang Li 37 2 0 30 Jun 2023
Decentralized Multi-Agent Reinforcement Learning with Global State Prediction Josh Bloom Pranjal Paliwal Apratim Mukherjee Carlo Pinciroli 35 3 0 22 Jun 2023
Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error Feedback Hang Wang Sen Lin Junshan Zhang 29 19 0 20 Jun 2023
Enhancing variational quantum state diagonalization using reinforcement learning techniques Akash Kundu Przemyslaw Bedelek M. Ostaszewski Onur Danaci Yash J. Patel Vedran Dunjko Jaroslaw Adam Miszczak 42 8 0 19 Jun 2023
Cooperative Multi-Objective Reinforcement Learning for Traffic Signal Control and Carbon Emission Reduction Cheng Ruei Tang J. Hsieh Shin-You Teng 21 0 0 16 Jun 2023
Finite-Time Analysis of Minimax Q-Learning for Two-Player Zero-Sum Markov Games: Switching System Approach Dong-hwan Lee 33 2 0 09 Jun 2023
Bigger, Better, Faster: Human-level Atari with human-level efficiency Max Schwarzer J. Obando-Ceron Rameswar Panda Marc G. Bellemare Rishabh Agarwal Pablo Samuel Castro OffRL 54 87 0 30 May 2023
Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo Haque Ishfaq Qingfeng Lan Pan Xu A. R. Mahmood Doina Precup Anima Anandkumar Kamyar Azizzadenesheli BDL OffRL 33 20 0 29 May 2023
VA-learning as a more efficient alternative to Q-learning Yunhao Tang Rémi Munos Mark Rowland Michal Valko OffRL 21 6 0 29 May 2023
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse Jiafei Lyu Le Wan Zongqing Lu Xiu Li OffRL 38 9 0 29 May 2023
On the Value of Myopic Behavior in Policy Reuse Kang Xu Chenjia Bai Shuang Qiu Haoran He Bin Zhao Zhen Wang Wei Li Xuelong Li 41 1 0 28 May 2023
A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU Farhad Shiri Thinagaran Perumal N. Mustapha Raihani Mohamed AILaw SyDa ELM AI4TS 60 130 0 27 May 2023
Accelerating Value Iteration with Anchoring Jongmin Lee Ernest K. Ryu 26 7 0 26 May 2023
Adaptive action supervision in reinforcement learning from real-world multi-agent demonstrations Keisuke Fujii Kazushi Tsutsui Atom Scott Hiroshi Nakahara Naoya Takeishi Yoshinobu Kawahara 34 6 0 22 May 2023
Deep PackGen: A Deep Reinforcement Learning Framework for Adversarial Network Packet Generation Soumyadeep Hore Jalal Ghadermazi Diwas Paudel Ankit Shah Tapas K. Das Nathaniel D. Bastian AAML 27 13 0 18 May 2023
Black-Box Targeted Reward Poisoning Attack Against Online Deep Reinforcement Learning Yinglun Xu Gagandeep Singh OffRL AAML 34 3 0 18 May 2023
What Matters in Reinforcement Learning for Tractography Antoine Théberge Christian Desrosiers Maxime Descoteaux Pierre-Marc Jodoin OffRL 29 2 0 15 May 2023
Task-Oriented Communication Design at Scale Arsham Mostaani T. Vu Hamed Habibi Symeon Chatzinotas Björn E. Ottersten 31 3 0 15 May 2023
Extracting Diagnosis Pathways from Electronic Health Records Using Deep Reinforcement Learning Lillian Muyama A. Neuraz Adrien Coulet 18 0 0 10 May 2023
Rescue Conversations from Dead-ends: Efficient Exploration for Task-oriented Dialogue Policy Optimization Yangyang Zhao Zhenyu Wang Mehdi Dastani Shihan Wang 24 0 0 05 May 2023
Bridging Declarative, Procedural, and Conditional Metacognitive Knowledge Gap Using Deep Reinforcement Learning Mark Abdelshiheed J. Hostetter Tiffany Barnes Min Chi 19 4 0 23 Apr 2023
Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective Yiming Gao Feiyu Liu Liang Wang Zhenjie Lian Weixuan Wang ... Jiawei Wang Qiang Fu Wei Yang Lanxiao Huang Wei Liu 45 7 0 23 Apr 2023
Efficient Deep Reinforcement Learning Requires Regulating Overfitting Qiyang Li Aviral Kumar Ilya Kostrikov Sergey Levine OffRL 37 32 0 20 Apr 2023
MDDL: A Framework for Reinforcement Learning-based Position Allocation in Multi-Channel Feed Xiaowen Shi Zehua Wang Yuanying Cai Xiaoxu Wu Fan Yang Guogang Liao Yongkang Wang Xingxing Wang Dong Wang OffRL 35 1 0 17 Apr 2023
Continual Semantic Segmentation with Automatic Memory Sample Selection Lanyun Zhu Tianrun Chen Jianxiong Yin Simon See Jing Liu CLL VLM 29 44 0 11 Apr 2023
Effective control of two-dimensional Rayleigh--Bénard convection: invariant multi-agent reinforcement learning is all you need Colin Vignon Jean Rabault Joel Vasanth Francisco Alcántara-Ávila M. Mortensen Ricardo Vinuesa AI4CE 33 40 0 05 Apr 2023
Mastering Pair Trading with Risk-Aware Recurrent Reinforcement Learning Weiguang Han Jimin Huang Qianqian Xie Boyi Zhang Yanzhao Lai Min Peng 38 4 0 01 Apr 2023
Multi-Flow Transmission in Wireless Interference Networks: A Convergent Graph Learning Approach Raz Paul Kobi Cohen Gil Kedar 39 5 0 27 Mar 2023
A Survey of Machine Learning-Based Ride-Hailing Planning Dacheng Wen Yupeng Li F. Lau 29 4 0 26 Mar 2023
Deep Q-Network Based Decision Making for Autonomous Driving M. Ronecker Yuan-xian Zhu 27 32 0 21 Mar 2023
Boundary-aware Supervoxel-level Iteratively Refined Interactive 3D Image Segmentation with Multi-agent Reinforcement Learning Chaofan Ma Qisen Xu Xiangfeng Wang Bo Jin Xiaoyun Zhang Yanfeng Wang Ya Zhang 42 22 0 19 Mar 2023
Conversational Tree Search: A New Hybrid Dialog Task Dirk Vath Lindsey Vanderlyn Ngoc Thang Vu 53 7 0 17 Mar 2023
Schrödinger's Camera: First Steps Towards a Quantum-Based Privacy Preserving Camera Hannah Kirkland S. Koppal 29 1 0 13 Mar 2023
Twice Regularized Markov Decision Processes: The Equivalence between Robustness and Regularization E. Derman Yevgeniy Men M. Geist Shie Mannor 47 1 0 12 Mar 2023
Reinforcement Learning Based Self-play and State Stacking Techniques for Noisy Air Combat Environment A. Tasbas S. O. Sahin N. K. Üre 23 3 0 06 Mar 2023
Double A3C: Deep Reinforcement Learning on OpenAI Gym Games Yangxin Zhong Jiajie He Ling-Xue Kong OffRL 17 2 0 04 Mar 2023
Understanding plasticity in neural networks Clare Lyle Zeyu Zheng Evgenii Nikishin Bernardo Avila-Pires Razvan Pascanu Will Dabney AI4CE 45 98 0 02 Mar 2023