The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Reinforcement learning (RL) algorithms are powerful tools that can be used to solve multi stage decision making problem. In this paper, we view Economic Dispatch (ED) problem as an n stage decision making problem and propose a novel RL algorithm which uses pursuit algorithm for making decisions at each stage during the learning process. Even though many soft computing techniques like simulated annealing,...
In this paper, we introduce reinforcement learning as a methodology to solve complex multi-criteria optimization problems for ground water monitoring. Multiple analytical criteria are used to assess design decisions and human feedback is simulated by adding random noise. Different learning automata based reinforcement learning methods as well as a genetic algorithm based method are used in experimental...
Modeling the behavior of the dialogue management in the design of a spoken dialogue system using statistical methodologies is currently a growing research area. This paper presents a work on developing an adaptive learning approach to optimize dialogue strategy. The problem of dialogue management can be formalized as a sequential decision making under uncertainty whose underlying probabilistic structure...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.