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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
Transmission Interface Power Flow Adjustment: A Deep Reinforcement Learning Approach based on Multi-task Attribution Map Shunyu Liu Wei Luo Yanzhen Zhou Kaixuan Chen Quan Zhang Huating Xu Qinglai Guo Mingli Song 58 15 0 24 May 2024
Diffusion Actor-Critic with Entropy Regulator Yinuo Wang Likun Wang Yuxuan Jiang Wenjun Zou Tong Liu ... Wenxuan Wang Liming Xiao Jiang Wu Jingliang Duan Shengbo Eben Li DiffM 135 17 0 24 May 2024
Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning Hector Kohler Quentin Delfosse R. Akrour Kristian Kersting Philippe Preux 134 16 0 23 May 2024
Policy Gradient Methods for Risk-Sensitive Distributional Reinforcement Learning with Provable Convergence Minheng Xiao Xian Yu Lei Ying 117 2 0 23 May 2024
A Survey on Vision-Language-Action Models for Embodied AI Yueen Ma Zixing Song Yuzheng Zhuang Jianye Hao Irwin King LM&Ro 333 54 0 23 May 2024
Learning To Play Atari Games Using Dueling Q-Learning and Hebbian Plasticity Md Ashfaq Salehin 32 0 0 22 May 2024
Continual Deep Reinforcement Learning for Decentralized Satellite Routing Federico Lozano-Cuadra B. Soret Israel Leyva Mayorga P. Popovski 65 3 0 20 May 2024
Generalized Multi-Objective Reinforcement Learning with Envelope Updates in URLLC-enabled Vehicular Networks Zijiang Yan Hina Tabassum 80 3 0 18 May 2024
ARDDQN: Attention Recurrent Double Deep Q-Network for UAV Coverage Path Planning and Data Harvesting Praveen Kumar Priyadarshni R. Misra 53 0 0 17 May 2024
Reinforcement learning Florentin Wörgötter 94 2,525 0 16 May 2024
Stochastic Q-learning for Large Discrete Action Spaces Fares Fourati Vaneet Aggarwal Mohamed-Slim Alouini OffRL 78 4 0 16 May 2024
When Large Language Model Meets Optimization Sen Huang Kaixiang Yang Sheng Qi Rui Wang 102 14 0 16 May 2024
NaviSlim: Adaptive Context-Aware Navigation and Sensing via Dynamic Slimmable Networks Timothy K Johnsen Marco Levorato 80 1 0 16 May 2024
Chaos-based reinforcement learning with TD3 Toshitaka Matsuki Yusuke Sakemi Kazuyuki Aihara 112 0 0 15 May 2024
Fully Distributed Fog Load Balancing with Multi-Agent Reinforcement Learning Maad Ebrahim A. Hafid 78 0 0 15 May 2024
Hierarchical Resource Partitioning on Modern GPUs: A Reinforcement Learning Approach Urvij Saroliya Eishi Arima Dai Liu Martin Schulz 68 3 0 14 May 2024
A Distributed Approach to Autonomous Intersection Management via Multi-Agent Reinforcement Learning Matteo Cederle Marco Fabris Gian Antonio Susto 62 0 0 14 May 2024
The Curse of Diversity in Ensemble-Based Exploration Zhixuan Lin P. DÓro Evgenii Nikishin Rameswar Panda 101 1 0 07 May 2024
An Improved Finite-time Analysis of Temporal Difference Learning with Deep Neural Networks Zhifa Ke Zaiwen Wen Junyu Zhang 88 0 0 07 May 2024
CTD4 -- A Deep Continuous Distributional Actor-Critic Agent with a Kalman Fusion of Multiple Critics David Valencia Henry Williams Trevor Gee Bruce A MacDonaland Minas V. Liarokapis Minas Liarokapis OffRL 164 2 0 04 May 2024
Zero-Sum Positional Differential Games as a Framework for Robust Reinforcement Learning: Deep Q-Learning Approach Anton Plaksin Vitaly Kalev 62 1 0 03 May 2024
Language-Enhanced Latent Representations for Out-of-Distribution Detection in Autonomous Driving Zhenjiang Mao Dong-You Jhong Ao Wang Ivan Ruchkin OODD 90 2 0 02 May 2024
Tabular and Deep Reinforcement Learning for Gittins Index Harshit Dhankar Kshitij Mishra Tejas Bodas 103 0 0 02 May 2024
Portfolio Management using Deep Reinforcement Learning Ashish Anil Pawar Vishnureddy Prashant Muskawar Ritesh Tiku AIFin 28 0 0 01 May 2024
Point Cloud Models Improve Visual Robustness in Robotic Learners Skand Peri Iain Lee Chanho Kim Fuxin Li Tucker Hermans Stefan Lee 3DPC 125 4 0 29 Apr 2024
Evaluating Collaborative Autonomy in Opposed Environments using Maritime Capture-the-Flag Competitions Jordan Beason Michael Novitzky John Kliem Tyler Errico Zachary Serlin ... Michael R. Benjamin Prithviraj Dasgupta Peter Crowley Charles O'Donnell John James 69 2 0 25 Apr 2024
Benchmarking Mobile Device Control Agents across Diverse Configurations Juyong Lee Taywon Min Minyong An Changyeon Kim Kimin Lee 109 16 0 25 Apr 2024
A Dual Perspective of Reinforcement Learning for Imposing Policy Constraints Bram De Cooman Johan A. K. Suykens 98 0 0 25 Apr 2024
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories Ning Yang Shuo Chen Haijun Zhang Randall Berry OffRL 104 9 0 22 Apr 2024
Stackelberg Game-Theoretic Learning for Collaborative Assembly Task Planning Yuhan Zhao Lan Shi Quanyan Zhu 54 0 0 19 Apr 2024
Trajectory Planning for Autonomous Vehicle Using Iterative Reward Prediction in Reinforcement Learning Hyunwoo Park 70 0 0 18 Apr 2024
Learning from Offline and Online Experiences: A Hybrid Adaptive Operator Selection Framework Jiyuan Pei Jialin Liu Yi Mei 68 4 0 16 Apr 2024
Autonomous Path Planning for Intercostal Robotic Ultrasound Imaging Using Reinforcement Learning Yuanwei Bi Cheng Qian Zhicheng Zhang Nassir Navab Zhongliang Jiang 43 5 0 15 Apr 2024
Advancing Forest Fire Prevention: Deep Reinforcement Learning for Effective Firebreak Placement Lucas Murray Tatiana Castillo Jaime Carrasco Andrés Weintraub Richard Weber Isaac Martín de Diego José Ramón González Jordi García-Gonzalo AI4CE 25 2 0 12 Apr 2024
R2 Indicator and Deep Reinforcement Learning Enhanced Adaptive Multi-Objective Evolutionary Algorithm Farajollah Tahernezhad-Javazm Debbie Rankin N. D. Bois Alice E. Smith Damien Coyle 68 1 0 11 Apr 2024
HGFF: A Deep Reinforcement Learning Framework for Lifetime Maximization in Wireless Sensor Networks Xiaoxu Han Xin Mu Jinghui Zhong 34 0 0 11 Apr 2024
Collaborative Ground-Space Communications via Evolutionary Multi-objective Deep Reinforcement Learning Jiahui Li Geng Sun Qingqing Wu Dusit Niyato Jiawen Kang Abbas Jamalipour Victor C. M. Leung 84 24 0 11 Apr 2024
Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective Victor-Alexandru Darvariu Stephen Hailes Mirco Musolesi AI4CE 121 8 0 09 Apr 2024
Deep Reinforcement Learning for Personalized Diagnostic Decision Pathways Using Electronic Health Records: A Comparative Study on Anemia and Systemic Lupus Erythematosus Lillian Muyama A. Neuraz Adrien Coulet 60 5 0 09 Apr 2024
Growing Q-Networks: Solving Continuous Control Tasks with Adaptive Control Resolution Tim Seyde Peter Werner Wilko Schwarting Markus Wulfmeier Daniela Rus OffRL 74 5 0 05 Apr 2024
Utilizing Maximum Mean Discrepancy Barycenter for Propagating the Uncertainty of Value Functions in Reinforcement Learning Srinjoy Roy Swagatam Das 71 0 0 31 Mar 2024
Learning Off-policy with Model-based Intrinsic Motivation For Active Online Exploration Yibo Wang Jiang Zhao OffRL OnRL 90 0 0 31 Mar 2024
Biologically-Plausible Topology Improved Spiking Actor Network for Efficient Deep Reinforcement Learning Duzhen Zhang Qingyu Wang Tielin Zhang Bo Xu 324 2 0 29 Mar 2024
Nonparametric Bellman Mappings for Reinforcement Learning: Application to Robust Adaptive Filtering Yuki Akiyama Minh Vu Konstantinos Slavakis 67 3 0 29 Mar 2024
A Peg-in-hole Task Strategy for Holes in Concrete André Yuji Yasutomi Hiroki Mori Tetsuya Ogata 54 15 0 29 Mar 2024
Closed-form congestion control via deep symbolic regression Jean Martins Igor Almeida Ricardo Souza Silvia Lins 27 0 0 28 Mar 2024
Multi-AGV Path Planning Method via Reinforcement Learning and Particle Filters Shao Shuo 55 1 0 27 Mar 2024
Parametric PDE Control with Deep Reinforcement Learning and Differentiable L0-Sparse Polynomial Policies N. Botteghi Urban Fasel AI4CE 103 6 0 22 Mar 2024
Constrained Reinforcement Learning with Smoothed Log Barrier Function Baohe Zhang Yuan Zhang Lilli Frison Thomas Brox Joschka Bödecker 98 8 0 21 Mar 2024
Neural-Kernel Conditional Mean Embeddings Eiki Shimizu Kenji Fukumizu Dino Sejdinovic 50 4 0 16 Mar 2024