Media Summary: Average Score: 1759.102 Win Rate: 942/1000 (0.94) This video demonstrate searching algorithms used in Alpha-Beta pronning search Algorithm for pacman
Average Score: 1759.102 Win Rate: 942/1000 (0.94) This video demonstrate searching algorithms used in Alpha-Beta pronning search Algorithm for pacman This is a demo video of the final project we did for our
![Multi Agent Pacman [5]. Evaluation Function](https://i.ytimg.com/vi/1F6SaRbaYB0/mqdefault.jpg)
Evaluation Function
Expectimax
This video shows the standard Expectimax
Bài tập AI MultiAgents trong bài http://ai.berkeley.edu/
Average Score: 1759.102 Win Rate: 942/1000 (0.94)
![Multi agent Pacman [4]. Expectimax](https://i.ytimg.com/vi/ESKaWA6WxuU/mqdefault.jpg)
Expectimax를 이용해 구현한 팩맨 http://magician-of-c.tistory.com/
SV : 18021277 - Nguyễn Thái Tiệp.
MultiAgent
Pacman
multiagent pacman
This video demonstrate searching algorithms used in
Alpha-Beta pronning search Algorithm for pacman
This is a demo video of the final project we did for our