Mostrando 4 resultados de: 4
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Publisher
2017 21st International Conference on System Theory, Control and Computing, ICSTCC 2017(1)
IEEE Transactions on Artificial Intelligence(1)
IEEE Transactions on Control Systems Technology(1)
Lecture Notes in Electrical Engineering(1)
Área de conocimiento
Teoría de control(3)
Sistema de control(2)
Algoritmo(1)
Inteligencia artificial(1)
Simulación por computadora(1)
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ODS 4: Educación de calidad(3)
ODS 9: Industria, innovación e infraestructura(3)
ODS 16: Paz, justicia e instituciones sólidas(1)
ODS 17: Alianzas para lograr los objetivos(1)
ODS 8: Trabajo decente y crecimiento económico(1)
Origen
scopus(4)
Hierarchical Reinforcement Learning for Air Combat At DARPA's AlphaDogfight Trials
ArticleAbstract: Autonomous control in high-dimensional, continuous state spaces is a persistent and important challePalabras claves:Air combat, Artificial Intelligence, Atmospheric modeling, Autonomy, Deep reinforcement learning, entropy, hierarchical reinforcement learning, reinforcement learning, Task analysis, TRAINING, WeaponsAutores:Alcedo K., Henry Díaz, Ide J.S., Javorsek D., Micovic D., Pope A.P., Ritholtz L., Rosenbluth D., Twedt J.C., Walker T.T.Fuentes:scopusFitted Q-Function Control Methodology Based on Takagi-Sugeno Systems
ArticleAbstract: This paper presents a combined identification/Q-function fitting methodology that involves identificPalabras claves:Adaptive dynamic programing (DP), fitted Q-function, Linear Matrix Inequality (LMI), reinforcement learning (RL), Takagi-Sugeno (TS)Autores:Armesto L., Henry Díaz, Sala A.Fuentes:scopusImproving LMI controllers for discrete nonlinear systems using policy iteration
Conference ObjectAbstract: This paper presents a method to improve the conservative (shape-independent) controllers from guaranPalabras claves:LMI, policy iteration (pI), Q-Learning, reinforcement learning, Takagi-SugenoAutores:Armesto L., Henry Díaz, Sala A.Fuentes:scopusLearning an Improved LMI Controller Based on Takagi-Sugeno Models via Value Iteration
Conference ObjectAbstract: This article proposes an alternative for formulating the method to improve the conservative controllPalabras claves:approximate dynamic programming, linear matrix inequalities, Q function, reinforcement learning, Takagi-Sugeno fuzzy modelsAutores:Henry Díaz, Jenyffer Yépez, Karla Paola NegreteFuentes:scopus