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1
Deep Reinforcement Learning: A Survey
Deep Reinforcement Learning: A Survey
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Deep Reinforcement Learning: A Survey

Wang, Xu ; Wang, Sen ; Liang, Xingxing ; Zhao, Dawei ; Huang, Jincai ; Xu, Xin ; Dai, Bin ; Miao, Qiguang

IEEE transaction on neural networks and learning systems, 2024-04, Vol.35 (4), p.5064-5078

United States: IEEE

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2
Solving Dynamic Traveling Salesman Problems With Deep Reinforcement Learning
Solving Dynamic Traveling Salesman Problems With Deep Reinforcement Learning
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Solving Dynamic Traveling Salesman Problems With Deep Reinforcement Learning

Zhang, Zizhen ; Liu, Hong ; Zhou, MengChu ; Wang, Jiahai

IEEE transaction on neural networks and learning systems, 2023-04, Vol.34 (4), p.2119-2132

United States: IEEE

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3
Reinforcement Learning Models and Algorithms for Diabetes Management
Reinforcement Learning Models and Algorithms for Diabetes Management
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Reinforcement Learning Models and Algorithms for Diabetes Management

Yau, Kok-Lim Alvin ; Chong, Yung-Wey ; Fan, Xiumei ; Wu, Celimuge ; Saleem, Yasir ; Lim, Phei-Ching

IEEE access, 2023-01, Vol.11, p.1-1 [Periódico revisado por pares]

Piscataway: IEEE

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4
SMIX(λ): Enhancing Centralized Value Functions for Cooperative Multiagent Reinforcement Learning
SMIX(λ): Enhancing Centralized Value Functions for Cooperative Multiagent Reinforcement Learning
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SMIX(λ): Enhancing Centralized Value Functions for Cooperative Multiagent Reinforcement Learning

Yao, Xinghu ; Wen, Chao ; Wang, Yuhui ; Tan, Xiaoyang

IEEE transaction on neural networks and learning systems, 2023-01, Vol.34 (1), p.52-63

United States: IEEE

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5
Scalable Inverse Reinforcement Learning Through Multifidelity Bayesian Optimization
Scalable Inverse Reinforcement Learning Through Multifidelity Bayesian Optimization
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Scalable Inverse Reinforcement Learning Through Multifidelity Bayesian Optimization

Imani, Mahdi ; Ghoreishi, Seyede Fatemeh

IEEE transaction on neural networks and learning systems, 2022-08, Vol.33 (8), p.4125-4132

United States: IEEE

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6
First-Spike-Based Visual Categorization Using Reward-Modulated STDP
First-Spike-Based Visual Categorization Using Reward-Modulated STDP
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First-Spike-Based Visual Categorization Using Reward-Modulated STDP

Mozafari, Milad ; Kheradpisheh, Saeed Reza ; Masquelier, Timothee ; Nowzari-Dalini, Abbas ; Ganjtabesh, Mohammad

IEEE transaction on neural networks and learning systems, 2018-12, Vol.29 (12), p.6178-6190

United States: IEEE

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7
A Robust Approach for Continuous Interactive Actor-Critic Algorithms
A Robust Approach for Continuous Interactive Actor-Critic Algorithms
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A Robust Approach for Continuous Interactive Actor-Critic Algorithms

Millan-Arias, Cristian C. ; Fernandes, Bruno J. T. ; Cruz, Francisco ; Dazeley, Richard ; Fernandes, Sergio

IEEE access, 2021, Vol.9, p.104242-104260 [Periódico revisado por pares]

Piscataway: IEEE

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8
A Survey of Sim-to-Real Transfer Techniques Applied to Reinforcement Learning for Bioinspired Robots
A Survey of Sim-to-Real Transfer Techniques Applied to Reinforcement Learning for Bioinspired Robots
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A Survey of Sim-to-Real Transfer Techniques Applied to Reinforcement Learning for Bioinspired Robots

Zhu, Wei ; Guo, Xian ; Owaki, Dai ; Kutsuzawa, Kyo ; Hayashibe, Mitsuhiro

IEEE transaction on neural networks and learning systems, 2023-07, Vol.34 (7), p.3444-3459

United States: IEEE

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9
Joint Optimization of Multi-UAV Target Assignment and Path Planning Based on Multi-Agent Reinforcement Learning
Joint Optimization of Multi-UAV Target Assignment and Path Planning Based on Multi-Agent Reinforcement Learning
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Joint Optimization of Multi-UAV Target Assignment and Path Planning Based on Multi-Agent Reinforcement Learning

Qie, Han ; Shi, Dianxi ; Shen, Tianlong ; Xu, Xinhai ; Li, Yuan ; Wang, Liujing

IEEE access, 2019, Vol.7, p.146264-146272 [Periódico revisado por pares]

Piscataway: IEEE

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10
Collision Avoidance in Pedestrian-Rich Environments With Deep Reinforcement Learning
Collision Avoidance in Pedestrian-Rich Environments With Deep Reinforcement Learning
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Collision Avoidance in Pedestrian-Rich Environments With Deep Reinforcement Learning

Everett, Michael ; Chen, Yu Fan ; How, Jonathan P.

IEEE access, 2021, Vol.9, p.10357-10377 [Periódico revisado por pares]

Piscataway: IEEE

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