Aqarios' platform Luna v1.0 marks a major milestone in quantum optimization. This release significantly improves usability, ...

Due to a lack of safety considerations, a wide range of multiagent reinforcement learning (MARL) applications are limited in real-world environments. Thus, ensuring MARL safety is essential and urgent ...

In autonomous driving (AD) tasks, data-driven deep reinforcement learning (DRL) outperforms rule-based methods in terms of continuous decision-making and adaptability. However, traditional DRL relies ...

With the rapid advancement of artificial intelligence (AI) technologies, their applications across various industries are ...

The Fascinating World of Bee Cognition The world of bees extends far beyond their well-known role as nature’s most industrious ...

The results are really astonishing. Tests show that offices save up to 37% on their energy bills with AI-optimized and ...

This article explores the current applications of artificial intelligence (AI) in chromatography. It anticipates AI’s ...

A new machine learning approach that draws inspiration from the way the human brain seems to model and learn about the world has proven capable of mastering a number of simple video games with ...

CleanRL is a Deep Reinforcement Learning library that provides high-quality single-file implementation with research-friendly features. The implementation is clean and simple, yet we can scale it to ...