Strategy Mining

Requirements / organisational issues

Contents

1. Formalisation and modelling of games or decision scenarios
   
2. Simulation and data generation through algorithmic approaches (e.g. Monte Carlo methods, reinforcement learning)
   
3. Data analysis and knowledge extraction using clustering and feature analysis
   
4. Development and presentation of explainable strategies
   

Additional information

1. Formally model and algorithmically analyse decision scenarios as games, by precisely describing state, action, and evaluation structures and selecting appropriate solution approaches. 
   
2. Implement, adapt, and evaluate algorithms for game analysis and strategy optimisation (e.g. Monte Carlo methods, reinforcement learning, search algorithms). 
   
3. Make data-driven strategies comprehensible by analysing game data, extracting underlying strategies, and interpreting and visualising them in a human-understandable way. 
   
4. Independently carry out a data-driven project, from problem definition through solution design, implementation, and experimentation to the evaluation and presentation of results.
   

Dates