Artificial Intelligence project designed by UC Berkeley. Designed game agents for the game Pacman using basic, adversarial and stochastic search algorithms, and reinforcement learning concepts

The Pacman Projects by the University of California, Berkeley.

Search algorithms(BFS, DFS, UCS, A*) in python.Berkeley Pacman Project 1.

Solutions of 1 and 2 Pacman projects of Berkeley AI course

Python3 port of Berkeley Pacman

Implemented various AI algorithms in Pac-Man projects developed by UC Berkeley. Implemented informed/blind state-space search using search algorithms like BFS, DFS, UCS and A* algorithm with heuristic calculation. Designed an algorithm for reflex agent, minimax and alpha-beta pruning. Reinforcement Learning using MDP (Value Iteration and Policy Evaluation) - Implemented Markov Decision process using Value iteration in the Pacman World. Designed perceptron classifier for data classification. Developed applications using python. http://ai.berkeley.edu/project_overview.html

UC Berkeley Pacman Project

My implementation for Berkeley AI Pacman projects No. 1 and No. 2

Open AI Gym version of Berkeley AI Pacman with images as states

my solution for UC Berkeley AI projects pacman

Pacman AI Projects 1,2,3 - UC Berkeley

Berkeley AI Pacman Project for developing search agents to play Pacman

Python3 version of UC Berkeley's CS 188 Pacman Capture the Flag project

Solution to some Pacman projects of Berkeley AI course

An MDP solver for Pacman to win games. Base game from Berkeley cs188x

Team Project for Berkeley's Pacman Capture The Flag Competition

This is the second project of the Spring 2014 CS 188 (Introduction to Artificial Intelligence) class at UC Berkeley. It implements a pacman who can play against adversarial agents with dynamic tree look up (both Minimax and Expectimax). it optimizes tree lookup with AlphaBetaPruning and finally contains a master strategy in the form of the betterEvaluationFunction (in multiAgents.py) for evaluating each state in the tree.

💾 A python3 version of Berkeley's Pacman AI course

Implementation of projects 0,1,2,3 of Berkeley's AI course

My implementation of the UC Berkeley, Artificial Intelligence Project 2 found on http://ai.berkeley.edu/multiagent.html

Pacman, AI Projects of Berkeley University (SOLUTIONS)

Pacman projects implemented in Python (from Berkeley Courses)

This is an implementation of intelligent pacman agents for the Pacman Capture the Flag game designed at UC Berkeley. I worked on this project with Liyuan Zheng.

Berkeley Pacman Reinforcement & QLearning

My solutions to the Berkeley Pac-Man projects of spring 2022.

Berkeley Pac-Man 🤤◽◽◽👻 projects 0, 1 & 2 solutions

:ghost: UC Berkeley CS188 Intro to AI -- The Pac-Man Projects

Deep learning project on top of UC Berkeley's (http://ai.berkeley.edu) Pacman source-code.

Berkeley Pacman Projects (1 and 2), Depth First Search, Breadth First Search, Uniform Cost Search ,A* Search , Heuristic Functions ,Suboptimal Search, Minimax Algorithm, Alpha-Beta Pruning, Expectimax, Constraint Santisfaction Problems, RLFA CSP problem, Propositional Logic, First-order Logic

Implementing Depth First Search, Breadth First Search, Uniform Cost Search, and A* Search for a pacman.