Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Julien Laumonier"'
Understanding the evolution of job requirements is becoming more important for workers, companies and public organizations to follow the fast transformation of the employment market. Fortunately, recent natural language processing (NLP) approaches al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3de47c5a31a704930ef83a82e452aec4
Publikováno v:
Multi-Agent Systems for Traffic and Transportation Engineering
This chapter studies the use of agent technology in the domain of vehicle control. More specifically, it illustrates how agents can address the problem of collaborative driving. First, the authors briefly survey the related work in the field of intel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b975ea0e49608429ce0c1f868a060598
https://doi.org/10.4018/978-1-60566-226-8.ch011
https://doi.org/10.4018/978-1-60566-226-8.ch011
Publikováno v:
IAT
In the Q-learning framework, the exploration of large environment is influenced by the time credit assignment problem. In this context, abstraction techniques may be used. Thus, multi-step actions (MSA) Q-learning has been proposed to take advantage
Publikováno v:
ITSC
The optimization of traffic light control systems is at the heart of work in traffic management. Many of the solutions considered to design efficient traffic signal patterns rely on controllers that use pre-timed stages. Such systems are unable to id
Publikováno v:
SAE Technical Paper Series.
Autor:
Brahim Chaib-draa, Julien Laumonier
Publikováno v:
Advances in Artificial Intelligence ISBN: 9783540220046
Canadian Conference on AI
Canadian Conference on AI
Real world multiagent coordination problems are important issues for reinforcement learning techniques. In general, these problems are partially observable and this characteristic makes the solution computation intractable. Most of the existing appro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::286a5563f36b843693b42ef5f79c23f0
https://doi.org/10.1007/11766247_31
https://doi.org/10.1007/11766247_31
Publikováno v:
Scopus-Elsevier
Collaborative driving is an important subcomponent of intelligent transportation systems ITS as it strives to create autonomous vehicles that are able to cooperate in order to navigate through urban traffic by using communications. We address this pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b0dae83abb5645fe4c0a605fcc953c4
http://www.scopus.com/inward/record.url?eid=2-s2.0-13344270306&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-13344270306&partnerID=MN8TOARS