Online Reinforcement Learning Applied Inside Met Office Unified Model

A study from the Met Office pairs its Unified Model with a distributed reinforcement-learning setup so that agents can be trained while the numerical weather model runs. The work targets machine-learned corrections that stay stable as the underlying forecast model evolves, rather than being trained offline on frozen data. The authors describe the coupling architecture that lets model and agent processes communicate across distributed infrastructure.