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Yoshinari Motokawa and Toshiharu Sugawara
In this paper, we propose an enhanced version of the distributed attentional actor architecture (eDA3-X) for model-free reinforcement learning. This architecture is designed to facilitate the interpretability of learned coordinated behaviors in multi-age...
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Yuxin Zhang, Yang Xiao, Qihe Shan and Tieshan Li
To decrease fuel-based energy consumption, it is important to investigate the optimal energy management problem for the seaport integrated energy system in a fully distributed manner. A multi-objective energy management model is constructed, considering ...
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Attila Kiss and Gábor Pusztai
In this paper, we present a novel implementation of an ecosystem simulation. In our previous work, we implemented a 3D environment based on a predator?prey model, but we found that in most cases, regardless of the choice of starting parameters, the simul...
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Xiaoxiong Liu, Yi Yin, Yuzhan Su and Ruichen Ming
To solve the problems of autonomous decision making and the cooperative operation of multiple unmanned combat aerial vehicles (UCAVs) in beyond-visual-range air combat, this paper proposes an air combat decision-making method that is based on a multi-age...
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Jaime Rincon, Vicente Julian and Carlos Carrascosa
In recent years federated learning has emerged as a new paradigm for training machine learning models oriented to distributed systems. The main idea is that each node of a distributed system independently trains a model and shares only model parameters, ...
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