AIMar 23, 2022
An Example of the SAM+ Algorithm for Learning Action Models for Stochastic Worlds
arXiv:2203.12499v11 citationsh-index: 34
Originality Synthesis-oriented
AI Analysis
This is an incremental technical example for researchers in automated planning, with no broader impact claimed.
The paper demonstrates the SAM+ algorithm for learning stochastic planning action models by applying it to a simplified Coffee domain, showing it can learn action models in this specific scenario.
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.