Esposito, Gennaro; Martín Muñoz, Mario (Taylor & Francis, 2016)
Accés obertReinforcement Learning (RL) provides a general methodology to solve complex uncertain decision problems, which are very challenging in many real-world applications. RL problem is modeled as a Markov Decision Process (MDP) ...
Esposito, Gennaro; Martín Muñoz, Mario (2015-05-13)
Accés obertRandom sampling is an efficient method for dealing with constrained optimization problems. In computational geometry, this method has been successfully applied, through Clarkson’s algorithm (Clarkson 1996), to solve a ...
Intersegmental synchronization of spontaneous cord dorsum potentials as a clinical parameter to evaluate changes in neuronal connectivity produced by peripheral nerve and spinal cord damage Martín Muñoz, Mario; Chávez, Diógenes; Béjar Alonso, Javier; Esposito, Gennaro; Rodríguez, Érika; Cortés García, Claudio Ulises; Rudomín, Pablo (Springer, 2012)
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Accés restringit per política de l'editorialWe describe here automatic selection method to retrieve spontaneous cord dorsum potentials from the spiral cord in the anesthetized cat. Previous studies have indicated that some of these potentials appear synchronized in ...
Markovian analysis reveals dynamic changes in the sequential behavior of dorsal horn neuronal activity induced by nociceptive stimulation Martín Muñoz, Mario; Béjar Alonso, Javier; Esposito, Gennaro; Chávez, Diógenes; Contreras-Hernández, Enrique; Glusman, Silvio; Cortés García, Claudio Ulises; Rudomín, Pablo (2017-04)
Accés obertAutomatic generation control (AGC) in multi-area interconnected power systems is experiencing several adaptions due to increasing level of power converter based components in the system. The concept of virtual synchronous ...
Esposito, Gennaro (Universitat Politècnica de Catalunya, 2015-06-17)
Accés obertBy using Reinforcement Learning (RL), an autonomous agent interacting with the environment can learn how to take adequate actions for every situation in order to optimally achieve its own goal. RL provides a general ...