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This paper presents a decentralized learning technique that enables two pursuers or more to capture a single evader in the pursuit-evasion (PE) differential games. Both the pursuers and the evader should learn their control strategies simultaneously by interacting with each other. The proposed learning technique uses a fuzzy actor-critic learning automaton (FACLA) algorithm together with the Kalman...
In this paper, we investigate the use of reinforcement learning to train the players in the game of guarding a territory. The game is played in the continuous domain. There are two players in the game: an invader and a guard. In our formulation, we set the guard to be 30 percent faster than the invader. We make the assumption that the players have no a priori knowledge of their optimal behavior. Therefore,...
The use of transverse electric (TE) waves has proved to be a powerful, noninvasive method for estimating the densities of electron clouds formed in particle accelerators. Results from the plasma simulation program VSim have served as a useful guide for experimental studies related to this method, which have been performed at various accelerator facilities. This paper provides results of the simulation...
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