The Project Paidia research team and others across Microsoft helped Azure Machine Learning understand what heavy users of reinforcement learning actually need in terms of infrastructure and compute ...

The bird has never gotten much credit for being intelligent. But the reinforcement learning powering the world’s most ...

To deepen the consumability of reinforcement learning algorithms in enterprise AI, developers require tools for collaborating on these projects and for deploying the resulting models into ...

In the past, reinforcement learning environments were often isolated, making it difficult for developers to share and reuse training environments across different fields and projects. This ...

It can take millions of failures for a reinforcement-learning system to become proficient, so most projects using the technology depend on simulations to speed up the laborious process.

Guangzhou Ligong Industrial Co., Ltd. recently announced that its patent for the "Multi-Agent Collaborative Scheduling Method and System Based on Maximum Entropy Reinforcement Learning" has been ...

The library, named TRFL and pronounced “truffle,” aims to aid researchers working on projects that employ reinforcement learning, a popular way to train neural networks.

DeepSeek-R1’s Monday release has sent shockwaves through the AI community, disrupting assumptions about what’s required to achieve cutting-edge AI performance. This story focuses on exactly ...