Question1:改进 ReflexAgent 使其表现更好,能够在 testClassic 布局中轻松可靠地通关。 Question2:在 MinimaxAgent 中实现对抗搜索代理,能够处理任意数量的鬼魂,并根据 self.evaluationFunction 对 minimax 树的叶子进行评分。 Question3:在 AlphaBetaAgent 中使用 alpha - beta 剪枝更有效地探索 minimax 树,注意算法的...
本学期上的《人工智能导论》课部分采用了Berkeley的CS188课程内容。今天整理了Project1:Search的实验报告,供大家学习交流。实验的instruction见该网址:https://inst.eecs.berkeley.edu/~cs188/sp20/project2/实验的文件见:https://inst.eecs.berkeley.edu/~cs188/sp20/a
You may use any tools at your disposal for evaluation, including your search code from the last project. With depth 2 search, your evaluation function should clear the smallClassic layout with one random ghost more than half the time and still run at a reasonable rate (to get full credit,...
CS188-Project-2 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. Files edited by me: multiAgents.py Custom code marked by: "**...
code-help-tutor / CS188-Project-2-multiagent Star 0 Code Issues Pull requests CS188 代写辅导, code help, CS tutor, WeChat: cstutorcs Email: tutorcs@163.com cs188 Updated Sep 30, 2024 Python elishadrion / CS188 Star 0 Code Issues Pull requests Berkeley's AI course ai berk...
7年前 textDisplay.py First commit 7年前 util.py First commit 7年前 README multi-agent-search multi-agent-search CS 188 Project 2 Star 0 Fork 0 捐赠 0 人次 简介 CS 188 Project 2 暂无标签 发行版 暂无发行版 贡献者 (2) 全部 近期动态 4年多前创建了仓库 深圳...
Please do not copy any files from Project 1, as it will not pass the autograder on Gradescope. You can try your agent out under these conditions with python autograder.py -q q5 To run it without graphics, use: python autograder.py -q q5 --no-graphics In [2] # 点击左侧播放按钮,...
CS 188 | Introduction to Artificial Intelligence Fall 2018 - Project2(UCB伯克利大学CS188人工智能导论课程) 课程官网: Introduction In this project, you will design agents for the classic version of Pacman, includi… 阅读全文 CS 188 | Introduction to Artificial Intelligence Fall 2018 - Project1...
CS188-pj4-Project 4: Inference in Bayes Nets 1、任务描述 同project2 一样,project4 也是要求我们编写代码来控制 pacman 的行动来刷分。 在这一次的任务中,最初,整个地图是不可见的。 pacman 需要根据探索到的已知信息来推断地图上的房子哪一个有食物,哪一个是鬼屋。
This project includes an autograder for you to grade your answers on your machine. This can be run on all questions with the command: python autograder.py It can be run for one particular question, such as q2, by: python autograder.py -q q2 ...