Searched for: subject%3A%22Deep%255C+Reinforcement%255C+Learning%255C+%255C%2528DRL%255C%2529%252C%22
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Song, Yanjie (author), Ou, Junwei (author), Pedrycz, Witold (author), Suganthan, Ponnuthurai Nagaratnam (author), Wang, X. (author), Xing, Lining (author), Zhang, Yue (author)
Multitype satellite observation, including optical observation satellites, synthetic aperture radar (SAR) satellites, and electromagnetic satellites, has become an important direction in integrated satellite applications due to its ability to cope with various complex situations. In the multitype satellite observation scheduling problem ...
journal article 2024
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Yao, X. (author), Du, Zhaocheng (author), Sun, Zhanbo (author), Calvert, S.C. (author), ji, Ang (author)
Deep Reinforcement Learning (DRL) has made remarkable progress in autonomous vehicle decision-making and execution control to improve traffic performance. This paper introduces a DRL-based mechanism for cooperative lane changing in mixed traffic (CLCMT) for connected and automated vehicles (CAVs). The uncertainty of human-driven vehicles (HVs...
journal article 2024
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Bai, Chengchao (author), Yan, Peng (author), Piao, Haiyin (author), Pan, W. (author), Guo, Jifeng (author)
This article explores deep reinforcement learning (DRL) for the flocking control of unmanned aerial vehicle (UAV) swarms. The flocking control policy is trained using a centralized-learning-decentralized-execution (CTDE) paradigm, where a centralized critic network augmented with additional information about the entire UAV swarm is utilized...
journal article 2024
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Tseremoglou, I. (author), van Kessel, Paul J. (author), Santos, Bruno F. (author)
Condition-based maintenance (CBM) scheduling of an aircraft fleet in a disruptive environment while considering health prognostics for a set of systems is a very complex combinatorial problem, which is becoming more challenging in light of the uncertainty included in health prognostics. This type of problem falls under the broad category of...
journal article 2023
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Groot, D.J. (author), Ribeiro, M.J. (author), Ellerbroek, Joost (author), Hoekstra, J.M. (author)
Current estimates show that the presence of unmanned aviation is likely to grow exponentially over the course of the next decades. Even with the more conservative estimates, these expected high traffic densities require a re-evaluation of the airspace structure to ensure safe and efficient operations. One structure that scored high on both the...
conference paper 2022
Searched for: subject%3A%22Deep%255C+Reinforcement%255C+Learning%255C+%255C%2528DRL%255C%2529%252C%22
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