13 citations · 14 across the 3 of their papers we have counts for
3 papers
Learning optimal policies from event logs through reinforcement learning: a comparison of deep and MDP-based approaches
Stefano Branchi, Andrei Buliga, Chiara Di Francescomarino +4
Prescriptive Process Monitoring is an emerging area within Process Mining that focuses on recommending actions to optimize business outcomes. Most existing works prescribe pre-defi…
Trustworthy Recommender Systems
Shoujin Wang, Xiuzhen Zhang, Yan Wang +2
Recommender systems (RSs) aim to help users to effectively retrieve items of their interests from a large catalogue. For a quite long period of time, researchers and practitioners…
Learning to act: a Reinforcement Learning approach to recommend the best next activities
Stefano Branchi, Chiara Di Francescomarino, Chiara Ghidini +3
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 mode…