Molecule Builder: Environment for Testing Reinforcement Learning Agents
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F23%3AA2402M39" target="_blank" >RIV/61988987:17310/23:A2402M39 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21730/23:00372170
Result on the web
<a href="https://www.scitepress.org/Link.aspx?doi=10.5220/0012257900003595" target="_blank" >https://www.scitepress.org/Link.aspx?doi=10.5220/0012257900003595</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5220/0012257900003595" target="_blank" >10.5220/0012257900003595</a>
Alternative languages
Result language
angličtina
Original language name
Molecule Builder: Environment for Testing Reinforcement Learning Agents
Original language description
We present a reinforcement learning environment designed to test agents’ ability to solve problems that can be naturally decomposed using subgoals. This environment is built on top of the PyVGDL game engine and enables to generate problem instances by specifying the dependency structure of subgoals. Its purpose is to enable faster development of Reinforcement Learning algorithms that solve problems by proposing subgoals and then reaching these subgoals.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
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 15th International Joint Conference on Computational Intelligence
ISBN
978-989-758-674-3
ISSN
2184-3236
e-ISSN
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Number of pages
9
Pages from-to
450-458
Publisher name
SCITEPRESS
Place of publication
Italská republika
Event location
Řím
Event date
Nov 13, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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