Enhancing Policy Gradient Algorithms with Search in Imperfect Information Games

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F24%3A00377055" target="_blank" >RIV/68407700:21230/24:00377055 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.24963/ijcai.2024/964" target="_blank" >https://doi.org/10.24963/ijcai.2024/964</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.24963/ijcai.2024/964" target="_blank" >10.24963/ijcai.2024/964</a>

Result language

angličtina

Original language name

Enhancing Policy Gradient Algorithms with Search in Imperfect Information Games

Original language description

Sequential decision-making under uncertainty in multi-agent environments is a fundamental problem in artificial intelligence. Games serve as a base model for these problems. Finding optimal plans in games that model real-world scenarios necessitates scalable algorithms. In games with perfect information, algorithms that use a combination of search and deep reinforcement learning can scale to arbitrary-sized games and achieve superhuman performance. In games with imperfect information, the situation is more challenging due to the nature of the search. This work aims to develop algorithms that use search but can scale into larger games than currently possible.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 33rd International Joint Conference on Artificial Intelligence

ISBN

978-1-956792-04-1

ISSN

1045-0823

e-ISSN

—

Number of pages

2

Pages from-to

8498-8499

Publisher name

International Joint Conferences on Artificial Intelligence Organization

Place of publication

—

Event location

Jeju

Event date

Aug 3, 2024

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

001347142808094