
Stabilized Nested Rollout Policy Adaptation
Cazenave, Tristan; Sevestre, Jean-Baptiste; Toulemont, Matthieu (2020), Stabilized Nested Rollout Policy Adaptation, Monte Carlo Search 2020, IJCAI Workshop, 2021-01, Yokohama (virtual), Japan
View/ Open
Type
Communication / ConférenceDate
2020Conference title
Monte Carlo Search 2020, IJCAI WorkshopConference date
2021-01Conference city
Yokohama (virtual)Conference country
JapanMetadata
Show full item recordAuthor(s)
Cazenave, TristanLaboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Sevestre, Jean-Baptiste
Toulemont, Matthieu
Abstract (EN)
Nested Rollout Policy Adaptation (NRPA) is a Monte Carlo search algorithm for single player games. In this paper we propose to modify NRPA in order to improve the stability of the algorithm. Experiments show it improves the algorithm for different application domains: SameGame, Traveling Salesman with Time Windows and Expression Discovery.Subjects / Keywords
Monte Carlo Tree SearchRelated items
Showing items related by title and author.
-
Cazenave, Tristan; Sevestre, Jean-Baptiste; Toulemont, Matthieu (2020) Communication / Conférence
-
Cazenave, Tristan; Teytaud, Fabien (2012) Communication / Conférence
-
Cazenave, Tristan; Teytaud, Fabien (2012) Communication / Conférence
-
Negrevergne, Benjamin; Cazenave, Tristan (2017) Communication / Conférence
-
Cazenave, Tristan; Lucas, Jean-Yves; Triboulet, Thomas; Kim, Hyoseok (2021) Article accepté pour publication ou publié