Algorithm Discovery with Monte-Carlo Search: Controlling the Size
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F17%3A00491208" target="_blank" >RIV/67985807:_____/17:00491208 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ICTAI.2017.00067" target="_blank" >http://dx.doi.org/10.1109/ICTAI.2017.00067</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICTAI.2017.00067" target="_blank" >10.1109/ICTAI.2017.00067</a>
Alternative languages
Result language
angličtina
Original language name
Algorithm Discovery with Monte-Carlo Search: Controlling the Size
Original language description
The problem of automated algorithm discovery has been mainly approached by means of Genetic programming. Recently, Monte-Carlo tree search methods - well known from games - have been used for program discovery, using stack-based program representations. In this paper, we analyze the behavior of the stack-based representations and describe an approach that provides finer control over generated program sizes and fast uniform playouts. Our approach utilizes type system with parametric polymorphism to generate typed programs. We evaluate the proposed solution with two Monte-Carlo tree search algorithms, and conclude that it is a good alternative which has a better control of exploration.
Czech name
—
Czech description
—
Classification
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)
Result continuities
Project
<a href="/en/project/GA15-19877S" target="_blank" >GA15-19877S: Automated Knowledge and Plan Modeling for Autonomous Robots</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence
ISBN
978-1-5386-3876-7
ISSN
2375-0197
e-ISSN
—
Number of pages
6
Pages from-to
390-395
Publisher name
IEEE
Place of publication
Los Alamitos
Event location
Boston
Event date
Nov 6, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000435294700056