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This article presents a tool developed to follow up and to evaluate the student learning using Fuzzy model. This tool enable the coordination of Classroom mediated by technology (CMT) courses at University of State of Amazonas to elect the best teaching practices that allow the increasing of student's performance. The course coordinators will have a tool to support decision-making, assisting professors...
In this paper, a modification of the standard learning algorithm Q-learning is presented: Object Q-learning (OQ-learning). An autonomous agent should be able to decide its own goals and behaviours in order to fulfil these goals. When the agent has no previous knowledge, it must learn what to do in every state (policy of behaviour). If the agent uses Q-learning, this implies that it learns the utility...
Systems plunged into dynamic environments need evolving behaviours in order to self-adapt to these changes. These behaviours cannot be predetermined because it is impossible to list exhaustively all the situations the system may be faced with. Therefore, it becomes necessary to define real time algorithms that enable systems to autonomously adapt their behaviours to the current context. This paper...
Reinforcement learning has been commonly used in multi-robot decision making to cope with uncertainties in the environment. A shortcoming of this approach is the need for the robots to change their actions quite frequently, which is not feasible in a physical multi-robot system. This paper focuses on the development of a modified Q-learning algorithm with minimal switching of actions. By introducing...
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