An Example of the SAM+ Algorithm for Learning Action Models for Stochastic Worlds

Brendan Juba, Roni Stern

Abstract: In this technical report, we provide a complete example of running the SAM+ algorithm, an algorithm for learning stochastic planning action models, on a simplified PPDDL version of the Coffee problem. We provide a very brief description of the SAM+ algorithm and detailed description of our simplified version of the Coffee domain, and then describe the results of running it on the simplified Coffee domain.