Ahmad A. Al-Talabi

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This paper presents a two stage learning technique that combines a particle swarm optimization (PSO)-based fuzzy logic control (FLC) algorithm with the Q-Learning fuzzy inference system (QFIS) algorithm. The PSO algorithm is used as a global optimizer to autonomously tune the parameters of a fuzzy logic controller. On the other hand, the QFIS algorithm is(More)
This paper addresses the case of dual learning in the pursuit-evasion (PE) differential game and examines how fast the players can learn their default control strategies. The players should learn their default control strategies simultaneously by interacting with each other. Each player’s learning process depends on the rewards received from its(More)
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