UC-Berkeley-AI-Pacman-Projects Project 1: Search (BFS, DFS, UCS, A*) Project 2: MultiAgent (Reflex Agent, Minimax Pruning, Alpha Beta Pruning, Expected Minimax Agent) Project 3: Tracking (Exact Inference, Approximate Inference, Joint Particle Filter) Project 4: Reinforcement Learning(Value...
Code Issues Pull requests Solutions of 1 and 2 Pacman projects of Berkeley AI course python berkeley artificial-intelligence pacman pacman-projects berkeley-ai pacman-assignments berkeley-algorithm berkeley-pacman Updated Jan 4, 2021 Python wesley...
pacman This is the first project of the Spring 2014 CS 188 (introduction to Artificial Intelligence) class at UC Berkeley. It implements different search algorithms (DFS, BFS, UCS and AStar). Pacman does not work against adversarial agents (ghosts) but can clean up a board highly efficiently...
UC Berkeley CS188 Intro to AI -- Pacman Project Solutions Tasks Implemented Project 1: Search in Pacman Finding a Fixed Food Dot using Depth First Search Breadth First Search Varying the Cost Function A* search Finding All the Corners Corners Problem: Heuristic Eating All The Dots Suboptimal ...
Python Solution for Pacman Iterations. Contribute to iakashsrivastava/UC-berkeley-Pacman-Solutions development by creating an account on GitHub.
# http://inst.eecs.berkeley.edu/~cs188/pacman/pacman.html # # Attribution Information: The Pacman AI projects were developed at UC Berkeley. # The core projects and autograders were primarily created by John DeNero # (denero@cs.berkeley.edu) and Dan Klein (klein@cs.berkel...
$ python pacman.py -p ApproximateQAgent -a extractor=SimpleExtractor -x 50 -n 60 -l mediumGrid HW3-Bonus Ghostbusters In this project, you will design Pacman agents that use sensors to locate and eat invisible ghosts. You'll advance from locating single, stationary ghosts to hunting packs...
This project uses Python 2.7.13 plus NumPy 1.13.1 and SciPy 0.19.1. Table of Contents How to Play Use WASD or arrow keys to control Pac-Man. To start an interactive game, type at the command line: python pacman.py To see how Pac-Man fares using search algorithms, we can define som...
This is the last project from UC Berkeley CS188. Contribute to vincent916735/Pacman-capture-the-flag development by creating an account on GitHub.
when Pacman finish train on Figure 1 and meet Figure 3, Pacman doesn't know what to do because they are different state even if only 1 dot missing! So maybe we can more general: Pacman only need to know this is a bad state when the ghost is very close to me and there is no ...