This paper presents the hierarchical Q-learning path planning (HQPP) architecture for solving the cooperative tracking control problem of multi-agent systems (MASs) with lumped uncertainties in an ...

In this article, we propose a way to enhance the learning framework for zero-sum games with dynamics evolving in continuous time. In contrast to the conventional centralized actor–critic learning, a ...

To play this audio you need to enable JavaScript. Hi Feifei. I'm OK, although my younger sister's staying with me at the moment, and she expects me to do everything for her. This morning she ...

Georgie Hello and welcome to 6 Minute English from BBC Learning English. I'm Georgie. Neil And I'm Neil. Georgie, today we're talking about cooking oils and which products are best for our health.

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This process is often used in supervised learning tasks, such as classification, regression, and sequence labeling. As you might imagine, there are limits to how this can scale.

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