This is a podcast for the University of Pennsylvania’s Artificial Intelligence Course (CIS 5210). The episodes are automatically generated using NotebookLM by uploading Prof. Chris Callison-Burch’s lecture notes and lecture slides.
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This is a podcast for the University of Pennsylvania’s Artificial Intelligence Course (CIS 5210). The episodes are automatically generated using NotebookLM by uploading Prof. Chris Callison-Burch’s lecture notes and lecture slides.
This episode explores adversarial search in game-playing AI, covering game formulation, minimax, game trees, evaluation functions, alpha-beta pruning and expectimax.
Disclosure: This episode was generated using NotebookLM by uploading Professor Chris Callison-Burch's lecture notes and slides.
The CIS 5210 Podcast
This is a podcast for the University of Pennsylvania’s Artificial Intelligence Course (CIS 5210). The episodes are automatically generated using NotebookLM by uploading Prof. Chris Callison-Burch’s lecture notes and lecture slides.
