"Decision Support for Knowledge Intensive Processes Using RL Based Reco" by Asjad Khan, Aditya Ghose et al.
Supporting knowledge workers involved in the execution of unstructured Knowledge-Intensive Processes by providing context-specific recommendations remains an interesting challenge. Case data that represents expert decisions recorded in the past can be exploited for building a decision support tool for knowledge workers that can recommend which tasks to execute next. Reinforcement learning (RL) provides a framework for learning from interaction with the environment in order to achieve a certain process goal. RL has widely been used to model sequential decision problems and has shown great promi...
Source: uow.edu.au