In this tutorial, we implement a reinforcement learning agent using RLax, a research-oriented library developed by Google DeepMind for building reinforcement learning algorithms with JAX. We combine ...

Abstract: This paper presented a novel Reward–Gradient–Informed Deep Q-Learning (RG-DQL) frame-work for model-free voltage regulation in a hybrid AC/DC low-voltage microgrid with unbalanced ...

The choice between PyTorch and TensorFlow remains one of the most debated decisions in AI development. Both frameworks have evolved dramatically since their inception, converging in some areas while ...

TensorFlow is an open-source machine learning framework developed by Google for numerical computation and building mach This call enables type promotion in TensorFlow and also changes type inference, ...

To provide quantitative analysis of strategic confrontation game such as cross-border trades like tariff disputes and competitive scenarios like auction bidding, we propose an alternating Markov ...

Human society is coordinated by mechanisms that control how prices are agreed, taxes are set, and electoral votes are tallied. The design of robust and effective mechanisms for human benefit is a core ...

Abstract: Non-orthogonal Multiple Access (NOMA) is a crucial technique in Cognitive Radio Networks (CRNs) that improves frequency band use efficiency. However, NOMA may encounter difficulties due to ...

Huzaifa is a seasoned gaming and media enthusiast with a talent for captivating storytelling. With a deep understanding of the industry and a burning passion, he brings a fresh and insightful voice to ...