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2017 21st International Conference on System Theory, Control and Computing, ICSTCC 2017(1)
IEEE Transactions on Artificial Intelligence(1)
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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:scopusImprovement of LMI controllers of Takagi-Sugeno models via Q-learning
Conference ObjectAbstract: This paper presents a preliminary attempt to bridge the conservative (shape-independent) results froPalabras claves:adaptive dynamic programming, LMI, Q-Learning, reinforcement learning, Takagi-SugenoAutores: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