Smart-Parking: Integration and data management by modeling and simulation using connected objects according to the DEVS formalism
暂无分享,去创建一个
Laurent Capocchi | Jean François Santucci | Emmanuelle de Gentili | Antoine Dominici | J. Santucci | E. Gentili | L. Capocchi | Antoine Dominici
[1] Peter Stone,et al. The utility of temporal abstraction in reinforcement learning , 2008, AAMAS.
[2] Stuart J. Russell,et al. Reinforcement Learning with Hierarchies of Machines , 1997, NIPS.
[3] B. Zeigler. The role of approximate morphisms in multiresolution modeling: Can we relax the strict lumpability requirements? , 2018 .
[4] Celine Kessler,et al. Hierarchical Markov decision process based on DEVS formalism , 2017, 2017 Winter Simulation Conference (WSC).
[5] R. Bellman. A Markovian Decision Process , 1957 .
[6] R. Bellman,et al. Dynamic Programming and Markov Processes , 1960 .
[7] Doina Precup,et al. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning , 1999, Artif. Intell..
[8] Laurent Capocchi,et al. System entity structure extension to integrate abstraction hierarchies and time granularity into DEVS modeling and simulation , 2016, Simul..
[9] Bernard P. Zeigler,et al. Guide to Modeling and Simulation of Systems of Systems , 2012, SpringerBriefs in Computer Science.
[10] Bernard P. Zeigler,et al. Theory of modeling and simulation , 1976 .