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[reproduced from Buffa (1993) ]. Copyright © 1993. The global map of the free space is a multiply connected polygon, with several internal contours (i.e., holes) and an external one, obtained by iteratively merging a current with a local map represented as a simply connected polygon. Introduction. The actor should be able to sense the world and also to represent what sensed in a manner that will make the decisions to follow accurate. The actor uses several sensors (e.g., eyes, nose, etc.) and acquires raw data that are processed, analyzed, and used for training or/and inference. The actor is considered to be able to learn to solve a specific task (e.g., face detection in images) if it can improve its performance, as measured by a specific metric (e.g., detection accuracy), through experience [5] . In the context of machine learning the experience is comprised of the data (e.g., images with faces) acquired by the sensors of the actor along with possible annotations (e.g., the exact location of the face in the image). Finally, the third paradigm in learning is called reinforcement learning and represents that learning procedure where the actor is able to acquire data from the environment, to make decisions and take actions and then it receives a feedback on whether the decision/action was helpful for solving a prespecified task [8] . For example, an actor can perceive the daily prices of a specific stock and be able to buy or sell stocks. The feedback can be the profit or loss the actor makes after each trading action. In all of the above cases, the data, the environment, the decisions, the actions, etc. Resultado para ambos os times marcam bet365.by Juliano Buzato 29/08/2022. Folder unlocked! 🔓 Ready for Qatar.
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