AgileRL

Reinforcement learning is a technique used to train artificial intelligence models, enabling them to strategize and accomplish specific goals. It has played a pivotal role in shaping landmark achievements in AI, including AlphaGo, autonomous vehicles, and ChatGPT. Even though reinforcement learning is an immensely powerful technology, few companies or individuals have the resources to leverage it. Projects in this space demand specialized engineers, come with substantial costs, and typically entail months or even years of effort before they can be successfully put into production.

AgileRL are pioneering RLOps, MLOps for reinforcement learning. Their aim is to streamline the whole reinforcement learning development pipeline, including simulation, training, deployment, and monitoring, to allow businesses of all sizes to leverage sophisticated AI capabilities. AgileRL’s open-source reinforcement learning framework introduces innovative evolutionary algorithms and enables 10x faster training. This results in models that outperform the current state-of-the-art, and are underpinned by the essential infrastructure that AgileRL provide through their RLOps platform.