Results 321 to 330 of about 1,052,376 (334)

An exploration of reinforcement learning and deep reinforcement learning

Applied and Computational Engineering
Today, machine learning is evolving so quickly that new algorithms are always appearing. Deep neural networks in particular have shown positive outcomes in a variety of areas, including computer vision, natural language processing, and time series prediction. Its development moves at a very sluggish pace due to the high threshold. Therefore, a thorough
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Cooperative Multi-agent Control Using Deep Reinforcement Learning

AAMAS Workshops, 2017
Jayesh K. Gupta, M. Egorov, Mykel J. Kochenderfer   +2 more
semanticscholar   +1 more source

Deep Reinforcement Learning: An Innovative Approach that Combines Deep Learning and Reinforcement Learning

Advances in Engineering Technology Research
Deep reinforcement learning (DRL) has emerged as a transformative paradigm that integrates the powerful representation-learning capabilities of deep neural networks with the sequential decision-making framework of reinforcement learning. Building upon the foundations of value functions, policy optimization, and Markov decision processes, DRL enables ...
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Applications of Deep Reinforcement Learning in Communications and Networking: A Survey

IEEE Communications Surveys and Tutorials, 2019
Nguyen Cong Luong, Dinh Thai Hoang, Shimin Gong   +2 more
exaly  

Deep Reinforcement Learning for Multiagent Systems: A Review of Challenges, Solutions, and Applications

IEEE Transactions on Cybernetics, 2020
Thin Nguyen, Ngoc Duy Nguyen, Saeid Nahavandi   +2 more
exaly  

The Advance of Reinforcement Learning and Deep Reinforcement Learning

2022 IEEE International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA), 2022
Le Lyu, Yang Shen, Sicheng Zhang
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Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges

IEEE Communications Surveys and Tutorials, 2020
Lei Lei, Yue Tan, Kan Zheng
exaly  

Deep reinforcement learning based energy management for a hybrid electric vehicle

Energy, 2020
Guodong Du, Yuan Zou, Xudong Zhang
exaly  

A survey on multi-agent deep reinforcement learning: from the perspective of challenges and applications

Artificial Intelligence Review, 2020
Shifei Ding, Ding Shifei
exaly  

A Survey of Multi-Task Deep Reinforcement Learning

Electronics (Switzerland), 2020
Nelson Vithayathil Varghese, Qusay H Mahmoud, Mahmoud Qusay H   +2 more
exaly