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A hybrid intelligent model for network selection in the industrial Internet of Things

Goudarzi, Shidrokh; Anisi, Mohammad Hossein; Abdullah, Abdul Hanan; Lloret, Jaime; Soleymani, Seyed Ahmad; Hassan, Wan Haslina (Elsevier, 2019-01)

[EN] Industrial Internet of Things (IIoT) plays an important role in increasing productivity and efficiency in heterogeneous wireless networks. However, different domains such as industrial wireless scenarios, small cell ...
How well does inverse reinforcement learning perform in simple markov decision processes (MDP) in comparison to reinforcement learning?

Izquierdo Ayala, Pablo (Universitat Politècnica de València, 2019-09-26)

[EN] This research project elaborates a qualitative comparison between two different learning approaches, Reinforcement Learning (RL) and Inverse Reinforcement Learning (IRL) over the Gridworld Markov Decision Process. The ...
Solving the Sailing Problem with a New Prioritized Value Iteration

Garcia-Hernandez, M.G.; Ruiz-Pinales, J.; Onaindia de la Rivaherrera, Eva; Reyes-Ballesteros, A. (Taylor &amp; Francis: STM, Behavioural Science and Public Health Titles, 2012)

In this paper we tackle the sailing strategies problem, a stochastic shortest-path Markov decision process. The problem of solving large Markov decision processes accurately and quickly is challenging. Because the ...

Mostrando ítems 1-3 de 3