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

my solution for UC Berkeley AI projects pacman

Pacman AI Projects 1,2,3 - UC Berkeley

Solution to some Pacman projects of Berkeley AI course

Pacman, AI Projects of Berkeley University (SOLUTIONS)

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

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).

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.

My solutions to the UC Berkeley AI Pacman Projects

UC Berkeley Pacman AI Projects

Solutions of Pacman projects of Berkeley AI course

UC Berkeley CS188 Intro to AI Pacman Projects

My solutions to the berkeley pacman ai projects.

A reinforcement learning algortihm implementation for Pac-Man based on the Berkeley AI Pacman projects.

My solutions to the Berkeley AI Pacman Projects

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Pacman Projects 1,2,3 of Brekley course cs188. These are 3 of 4 code assignments I was assigned in my Junior year in the course "AI" (YS02) at the University of Athens.

Solution to some Pacman Projects_{0, 1, 2} of Berkeley AI course

My solutions to the UC Berkeley AI Pacman Projects. Search: Implement depth-first, breadth-first, uniform cost, and A* search algorithms. These algorithms are used to solve navigation and traveling salesman problems in the Pacman world.

Berkeley Pacman AI projects

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AI agent implementations for the UC Berkeley Pacman projects covering search and multi-agent algorithms.

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Developing AI search agents to win Pacman.