A Pacman clone with original AI made using Unity / C#

I built the pacman game without the ai for pacman

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

AI Pacman, CS188 2019 summer version (Completed), original website:

The Pacman Projects by the University of California, Berkeley.

Solutions of 1 and 2 Pacman projects of Berkeley AI course

A.I. plays the original 1980 Pacman using Neuroevolution of Augmenting Topologies and Deep Q Learning

live game of 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

a pacman AI with a reinforcement learning agent that utilizes value iteration, policy iteration, policy extraction, Q-learning.

pacman AI that utilizes minimax, alpha beta pruning, expectimax. Evaluation function also scored 6th in a class of 300.

UC Berkeley AI Pac-Man game solution

A Monte Carlo Tree Search Agent used to control agents in a Pacman competition.

Artificial Intelligence Assignments DIT UoA

PacMan Machine Learning Artificial Intelligence Project

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

Final code for tutorial pacan-with-voice-AI

Cross-platform remake of PacMan (Namco, 1980) with original ghosts AI and game mechanics

BFS, DFS, A*, and Uniform Cost Search Algorithms implemented for Pacman game

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

Fundamental of AI course which focuses on search, multiagents, mdp and reinforcement learning algorithms.

Pacman AI with the Nengo Neural Engineering Framework

Implementation of many popular AI algorithms to play the game of Pacman such as Minimax, Expectimax and Greedy.

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

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The course contest involves a multi-player capture-the-flag variant of Pacman, where agents control both Pacman and ghosts in coordinated team-based strategies

pacman in JS for voice AI tutorial

my solution for UC Berkeley AI projects pacman

Pacman that plays itself

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