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Deep Reinforcement Learning Verification: A Survey
ACM Computing Surveys, 2023Afsaneh Doryab, Matthew Landers
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Explainable Deep Reinforcement Learning: State of the Art and Challenges
ACM Computing Surveys, 2023George Vouros
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An exploration of reinforcement learning and deep reinforcement learning
Applied and Computational EngineeringToday, 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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Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial
IEEE Communications Surveys and Tutorials, 2021Ekram Hossain
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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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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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Deep Reinforcement Learning for Cyber Security
IEEE Transactions on Neural Networks and Learning Systems, 2023Thanh Thi Nguyen, Vijay Janapa Reddi
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Multi-agent deep reinforcement learning: a survey
Artificial Intelligence Review, 2021Sven Gronauer, Klaus Diepold
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The Advance of Reinforcement Learning and Deep Reinforcement Learning
2022 IEEE International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA), 2022Le Lyu, Yang Shen, Sicheng Zhang
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How to train your robot with deep reinforcement learning: lessons we have learned
International Journal of Robotics Research, 2021Chelsea Finn +2 more
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Applications of Deep Reinforcement Learning in Communications and Networking: A Survey
IEEE Communications Surveys and Tutorials, 2019Dong In Kim, Nguyen Cong Luong
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