In this project, you will design agents for the classic version of Pacman, including ghosts. Along the way, you will implement both minimax and expectimax search and try your hand at evaluation function design. - joshkarlin/CS188-Project-2
Project 1 features: Pacman Agent based on search algorithm and heuristic function No ghost and power pill environment No computation time limit Mini-Contest 1 features: Multiple Pacman Agents Computation time limit Ghosts and Power pills Friendly Maze without holes Project 2 features: Pacman Agent ...
有大佬免费带路,一晚上连学带做搞定。 学到minimax,alpha beta剪枝,以及几个诡异的评估函数。 体验了一把调参师。。。 不动手实践的学习,就是骗自己 https://github.com/eecsmap/ucb_cs188_2022_spring/tree/p…
Project 3: Reinforcement Learninginst.cs.berkeley.edu/~cs188/sp20/project3/#question-6-4-points-q-learning 我的代码: # qlearningAgents.py # --- # Licensing Information: You are free to use or extend these projects for # educational purposes provided that (1) you do not distribute or...
UpdatedDec 2, 2023 Python 👻 UC Berkeley CS188 Intro to AI -- The Pac-Man Projects artificial-intelligencecs188pacman-projectsberkeley-ai UpdatedSep 11, 2021 Python In this project, you will design agents for the classic version of Pacman, including ghosts. Along the way, you will impleme...
这里是CS188 的 project [The Pac-Man Projects](https://inst.eecs.berkeley.edu/~cs188/sp24/projects/) 的解答,主要参考了 [CS188_Course_Projects](https://github.com/szzxljr/CS188_Course_Projects)。 这里是CS188 sp24 的project [The Pac-Man Projects](https://inst.eecs.berkeley.edu/~cs188...
马尔可夫决策过程_百度百科baike.baidu.com/item/%E9%A9%AC%E5%B0%94%E5%8F%AF%E5%A4%AB%E5%86%B3%E7%AD%96%E8%BF%87%E7%A8%8B/5824810?fr=aladdin 然后把原始项目的地址给大家,看看题目要求: Project 3: Reinforcement Learninginst.cs.berkeley.edu/~cs188/sp20/project3/ ...
(self,gameState):"""You do not need to change this method, but you're welcome to.getAction chooses among the best options according to the evaluation function.Just like in the previous project, getAction takes a GameState and returnssome Directions.X for some X in the set {NORTH, SOUTH...
04-Local_Search.md 05-Trees_Minimax_Pruning.md 06-Expectimax_Monte_Carlo_Tree_Search.md 07-Propositional_Logic_and_Planning.md 08-DPLL&ForwardChaining.md 09-First_Order_Logic.md 10-Intro_to_Probability.md README.md problem.md project README.mdBreadcrumbs cs188 /note / problem.md Latest...
更新关于Project4, 至此完成所有CS188课题 Dec 15, 2019 README The famous course is very helpful and important for deeper learning in AI. CS188 2019 summer version To be continued in this semester. PJ1_search PJ2_multiagent PJ3_reinforcement ...