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In this project, Pacman agent have to find paths through its maze world, both to reach a particular location and to collect food efficiently. then build up general search algorithms and apply them to Pacman scenarios.
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In this project, Pacman agent have to act as human and find paths through its maze world, to reach a particular location, to collect food efficiently, avoid ghosts, and maximize his game score using uninformed and informed state-space search, probabilistic inference, and reinforcement learning.