pacman code

Author: yuyeon

2022/FA22/intro-ai-series/workshop-2-multi-agent-algorithms/README.md

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+<!-- 
+    If you have any questions about this template, feel free to ask
+    your Director for help!
+-->
+
+
+<!-- 
+    SECTION: Header
+    ---------
+    Request new headers from you Director to fit your workshop!
+-->
+
+![Alt Text (Intro to AI: Search Algorithms)](./figures/DefaultW1_Header_Light.png#gh-light-mode-only)
+![Alt Text (Intro to AI: Search Algorithms)](./figures/DefaultW1_Header_Dark.png#gh-dark-mode-only)
+
+The official ACM AI **Intro to AI: Multi Agent Search Algorithms Workshop** repository. We demonstrate how to run various multi-agent search algorithms in a custom Pacman environment from Berkeley's [CS 188](https://inst.eecs.berkeley.edu/~cs188/fa22/projects/proj2/#welcome-to-multi-agent-pacman).
+
+<!-- 
+    SECTION: Table of Contents
+    ---------
+    Mandatory Sections:
+        - File Directory Structure
+        - Workshop Recording
+            - if you recorded your workshop, please make it available here
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+            - Give an interesting description of your workshop!
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+              and make the nouns general ('you' becomes 'the reader'))
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+        - Anything else you'd like, but try not to be redundant!
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+              another section
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+<!-- 
+    SECTION: Workshop Video
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+    Most, if not all, workshops should have recordings. Once the recording
+    is posted to the ACMUCSD YT channel (https://www.youtube.com/channel/UCyjPATFqc3FwOiuqJ2UG1Eg), replace the text with an <img> element.
+-->
+
+# 1. Getting Started
+
+<!-- 
+    You can write something up or use the marketing description.
+-->
+
+## 1.1 Environment Setup
+
+```
+conda env create -f environment.yaml
+conda activate ai
+```
+
+Workshop "Intro to AI: Multi Agent Search Algorithms" consists of 2 components:
+- [Notebook](<!-- Local Path to Notebook -->) with completed code and explanations.
+- [Summary Graphic](<!-- Local Path to Summary Graphic -->) to summarize key points of the workshop. (To be added after workshop)
+
+Please refer to [CS 188](https://inst.eecs.berkeley.edu/~cs188/fa22/projects/proj2/#welcome-to-multi-agent-pacman) for exact details on the code.
+
+## 1.2 Testing the Code
+
+Try running
+```
+python pacman.py
+```
+to play a game of pacman and get a grasp on the environment.
+
+Algorithms:
+Q2 - Minimax
+Q3 - Alpha-Beta Pruning
+Q4 - Expectimax
+<!-- 
+    Note: The above list will depend on your specific workshop.
+-->
+
+
+# 2. Workshop Video
+
+*Will be added as soon as uploaded to YouTube*
+
+<!--
+<div align="center">
+<a href="YT Video Link">
+<img
+    src="YT Max Res Thumbnail Link"
+    alt="Screen reader-compatible alt text"
+    width="500px"
+/>
+</a>
+</div>
+-->
+
+<!-- 
+    SECTION: File Directory Structure
+    ---------
+    Write out your File Directory Structure below (make sure it's up-to-date)
+-->
+
+# 3. File Directory Structure
+
+```bash
+intro-ai-series
+    | -- figures
+        | -- DefaultW1_Header_Dark.png
+        | -- DefaultW1_Header_Light.png
+    | -- src
+        | -- multiAgents.py # implement the algorithms
+        | -- pacman.py # main file that runs pacman games
+        | -- util.py # useful utility function with data structures for implementing algorithms (optional o use)
+        | -- autograder.py # run this for determining the correctness of code
+    | -- README.md
+```
+
+<!-- 
+    SECTION: Getting Started
+    ---------
+    Brief description of your workshop here
+-->

2022/FA22/intro-ai-series/workshop-2-multi-agent-algorithms/src/VERSION

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+v1.004