Systems and methods for identifying markov decision process solutions

A computer program product for identifying Markov Decision Process (MDP) solutions, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to:

• iteratively, until one or more MDP solutions are identified:
• receive, by the processor, input data comprising one or more first states and one or more first actions;
• formulate, by the processor and via a machine learning model (MLM), a search space based on the input data, the search space comprising one or more second states and one or more second actions;
• conduct, by the processor and via the MLM, hyperparameter tuning of the search space;
• generate, by the processor and via the MLM, an MDP instance based on the hyperparameter tuning;
• and
• determine, by the processor and via the MLM, whether the generated MDP instance comprises a first MDP solution.

A computer-implemented method, comprising:

• receiving, by one or more processors, input data comprising one or more first states and one or more first actions;
• identifying, via a machine learning model (MLM), a subset of the input data;
• formulating, via the MLM, a search space based on the subset of the input data, the search space comprising one or more second states and one or more second actions;
• conducting, via the MLM, hyperparameter tuning of the search space;
• and
• generating, via the MLM, a Markov Decision Process (MDP) instance based on the hyperparameter tuning.