Stefano Branchi

Learning to act: a Reinforcement Learning approach to recommend the best next activities

The rise of process data availability has recently led to the development of data-driven learning approaches. However, most of these approaches restrict the use of the learned model to predict the...

Workshift Scheduling Using Optimization and Process Mining Techniques: An Application in Healthcare

Learning optimal policies from event logs through reinforcement learning: a comparison of deep and MDP-based approaches

Prescriptive Process Monitoring is an emerging area within Process Mining that focuses on recommending actions to optimize business outcomes. Most existing works prescribe pre-defined...