About this document
Game Theory Applications in AI by Như Lê is a document available to read on EtoBox.
The document discusses two-player games, focusing on concepts like minimax algorithms, zero-sum games, and alpha-beta pruning. It highlights the importance of game theory in modeling competitive scenarios and introduces advanced techniques for game AI, such as evaluation functions and limited-horizon search. The summary emphasizes that while alpha-beta pruning optimizes decision-making, limited-horizon search is often necessary and can lead to suboptimal outcomes.
- Author
- Như Lê
- Language
- EN