SCLW02 — Reinforcement Learning for Science: Discovery and Automation

This two-day workshop on Reinforcement Learning for Science: Discovery and Automation, is a follow-up event to the Isaac Newton Institute satellite programme “Bridging Stochastic Control and Reinforcement Learning.” The workshop will bring together leading experts from academia and industry to demonstrate how tailored reinforcement learning (RL) techniques can accelerate scientific discovery and drive engineering automation. It will feature invited talks and panel discussions showcasing how RL can be effectively adapted and integrated into workflows spanning medicine, the physical sciences, robotics, and complex engineering systems. By highlighting practical applications and fostering interdisciplinary dialogue, the workshop aims to catalyze new collaborations and promote the broader adoption of RL in high-impact scientific and engineering contexts.