Solutions of 1 and 2 Pacman projects of Berkeley AI course

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

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

Software Agents Pacman project, implementing AI for Pacman in Python and PDDL

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

Explore foundational AI concepts through the Pac-Man projects, designed for UC Berkeley's CS 188 course. Implement search algorithms, multi-agent strategies, and reinforcement learning techniques in Python, emphasizing real-world applications. Engage in the Eutopia Pac-Man contest for a multiplayer capture-the-flag challenge

Solution to some Pacman projects of Berkeley AI course

A Pacman game implementation with an AI player using the Minimax algorithm. This project showcases the classic Pacman game environment, where the player (Pacman) navigates a maze to collect points while avoiding ghosts. The AI-controlled ghosts aim to catch Pacman.

The phase 3 of my AI project, which is implementing model-based and model-free reinforcement learning algorithms, applied to the AIMA textbook's Gridworld, Pacman, and a simulated crawling robot.

A pacman project for an AI course

Pacman, AI Projects of Berkeley University (SOLUTIONS)

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

Pacman Capture The Flag project for CS4100 AI

AI Project Spring 2023: The Pac-Man Project from Berkeley's Intro to AI course

AI pacman project(berkeley university) - Fall 2021

My solution to Berkeley's AI Pacman project

The phase 2 of my AI project, which is adversarial search in Pacman game for reaching the best utility and avoiding ghosts. Minimax with alpha-beta pruning and Expectimax is implemented.

I have completed four Pacman projects of the UC Berkeley CS188 Intro to Artificial Intelligence course. The Pac-Man projects were developed for CS 188. They apply an array of AI techniques to playing Pac-Man. They teach foundational AI concepts, such as informed state-space search, probabilistic inference, and reinforcement learning.

🕹️👻👾👻 In this thrilling AI adventure, we embark on a multi-stage quest to transform Pacman into an intelligent game-playing agent. Across three engaging projects, we explore various facets of artificial intelligence, from basic search algorithms to adversarial competition and reinforcement learning.

UC Berkeley CS188 Projects # Licensing Information: You are free to use or extend these projects for # educational purposes provided that (1) you do not distribute or publish # solutions, (2) you retain this notice, and (3) you provide clear # attribution to UC Berkeley, including a link to http://ai.berkeley.edu. # # 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.berkeley.edu). # Student side autograding was added by Brad Miller, Nick Hay, and # Pieter Abbeel (pabbeel@cs.berkeley.edu).

Licensing Information: You are free to use or extend these projects for educational purposes provided that (1) you do not distribute or publish solutions, (2) you retain this notice, and (3) you provide clear attribution to UC Berkeley, including a link to http://ai.berkeley.edu. 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.berkeley.edu). Student side autograding was added by Brad Miller, Nick Hay, and Pieter Abbeel (pabbeel@cs.berkeley.edu).

My solutions to the UC Berkeley AI Pacman Projects

UC Berkeley CS188 Intro to AI -- Pacman Project Solutions

University of Oulu A.I. coursework, Pacman projects. Original materials are offered by UC Berkeley.

[CIE 458] AI course offered in Fall 2021, Zewail City

UC Berkeley Pacman AI Projects

IUST AI Project - Pacman Search

Solutions of Pacman projects of Berkeley AI course