Abstract: Deep supervised learning algorithms typically require a large volume of labeled data to achieve satisfactory performance. However, the process of collecting and labeling such data can be ...
In the Kramatorsk direction, the enemy is constantly experimenting. These actions differ markedly from its behavior in the summer, when it acted according to completely different algorithms. This was ...
Abstract: As a new analogy paradigm of human learning process, reinforcement learning (RL) has become an emerging topic in computational intelligence (CI). The synergy between the RL and CI is an ...
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