Reinforcement Learning Algorithms leaf node


URI

https://openalex.org/T10462

Label

Reinforcement Learning Algorithms

Description

This cluster of papers encompasses a wide range of advancements in reinforcement learning algorithms and their applications, including deep learning, neural networks, robotics, autonomous control, policy gradient methods, multi-agent systems, model-based learning, curiosity-driven exploration, and simulation to real-world transfer.

Implementation

@prefix oasubfields: <https://openalex.org/subfields/> .
@prefix openalex: <https://lambdamusic.github.io/openalex-hacks/ontology/> .
@prefix owl: <http://www.w3.org/2002/07/owl#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix skos: <http://www.w3.org/2004/02/skos/core#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<https://openalex.org/T10462> a skos:Concept ;
    rdfs:label "Reinforcement Learning Algorithms"@en ;
    rdfs:isDefinedBy openalex: ;
    owl:sameAs <https://en.wikipedia.org/wiki/Reinforcement_learning>,
        <https://openalex.org/T10462> ;
    skos:broader oasubfields:1702 ;
    skos:definition "This cluster of papers encompasses a wide range of advancements in reinforcement learning algorithms and their applications, including deep learning, neural networks, robotics, autonomous control, policy gradient methods, multi-agent systems, model-based learning, curiosity-driven exploration, and simulation to real-world transfer."@en ;
    skos:inScheme openalex: ;
    skos:prefLabel "Reinforcement Learning Algorithms"@en ;
    openalex:cited_by_count 646874 ;
    openalex:works_count 32557 .