About

At RavenRL, we are pioneering the applied use of reinforcement learning (RL) to unlock new frontiers of intelligent decision-making and optimization in the real world. With roots in cutting-edge AI research at ETH Zurich, we aim to harness the power of RL to tackle complex real-world challenges.

Our initial focus is on the energy sector, where we aim to leverage RL to optimize the operations of wind farms. By enabling intelligent support tools that can adaptively learn and help operators make optimal decisions in response to dynamic site conditions and asset states, we can maximize energy output, reduce operational and maintenance costs, and drive sustainable energy solutions.

However, our ambitions extend far beyond wind energy. We envision a future where reinforcement learning is seamlessly integrated into a wide range of real-world systems, enabling intelligent automation, resource optimization, and data-driven decision-making at unprecedented levels of efficiency and accuracy.