Essay.06-DuJiang-2201111784
Keywords: teleological reasoning, inverse planning, preferenced-based reinforcement learning
Abstract: In the realm of artificial intelligence, the representation of goals is essential for systems that exhibit cognitive abilities. This essay explores three crucial aspects—teleological reasoning, inverse planning and Bayesian goal inference, and preferenced-based reinforcement learning—that collectively form a comprehensive framework for the computational representation of goals.
Submission Number: 144
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