Publications

@inproceedings{sabatucciSabatucciMonteCarlo2021,

title = {MonteCarlo Tree Search with Goal-Based Heuristic},

author = { Luca Sabatucci},

url = {https://plansig2020.files.wordpress.com/2020/12/plansig_2020_paper_7.pdf},

year  = {2021},

date = {2021-10-01},

urldate = {2021-10-01},

booktitle = {The First Online Workshop of the UK Planning & Scheduling Special Interest Group},

address = {UK},

abstract = {The use of a domain-driven symbolic planner may provide interesting performances, even with the most challenging planning domain. However, sometimes a domain utility-function to be maximized does not exist: there are cases in which creating such a function is difficult and error-prone. This paper investigates an alternative approach to afford deterministic planning when no utility-functions are available. In cases like these, classical planning may provide bad performances. The use of a MonteCarlo approach, in conjunction with a goal-based heuristic, has given promising results.},

keywords = {Goal-Oriented Approach, Monte Carlo Search, Partial goal satisfaction, Self-Adaptive Systems},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{sabatucci_montecarlo_2021,

title = {MonteCarlo Tree Search with Goal-Based Heuristic},

author = {Luca Sabatucci},

url = {https://plansig2020.files.whttps://plansig2020.files.wordpress.com/2020/12/plansig_2020_paper_7.pdf},

year  = {2021},

date = {2021-10-01},

address = {UK},

abstract = {The use of a domain-driven symbolic planner may provide interesting performances, even with the most challenging planning domain. However, sometimes a domain utility-function to be maximized does not exist: there are cases in which creating such a function is difficult and error-prone. This paper investigates an alternative approach to afford deterministic planning when no utility-functions are available. In cases like these, classical planning may provide bad performances. The use of a MonteCarlo approach, in conjunction with a goal-based heuristic, has given promising results.},

note = {Place: UK},

keywords = {Goal-Oriented Approach, Monte Carlo Search, Partial goal satisfaction, Self-Adaptive Systems},

pubstate = {published},

tppubtype = {inproceedings}

}