Exploring Learning Algorithms with Pac-Man
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Updated
Sep 22, 2017 - Python
Exploring Learning Algorithms with Pac-Man
The Pacman Project 1: Search in Pacman, from link: http://ai.berkeley.edu/search.html
(Berkeley AI) Search problems arround PACMAN
In this project, the Pac-Man agent finds paths through its maze world, both to reach a particular location and to collect food efficiently. Search algorithms such as Depth First Search, Bread First Search, Uniform Cost Search and A-star search are applied to Pac-Man scenarios.
In this project, agents are designed for the classic version of Pacman, including ghosts. Mini-max, Alpha-Beta pruning, Expectimax techniques were used to implement multi-agent pacman adversarial search.
A project that applies several Artificial Intelligence techniques such as informed state space search, reinforcement learning and probabilistic inference. Algorithms such as Depth First Search, Breadth First Search, Uniform Cost Search, A-star Search enabled the pacman to win in different game versions
Mini-max, Alpha-Beta pruning, Expectimax techniques are used to implement multi-agent pacman adversarial search.
Pacman game AI built for Artificial intelligence course CSE537 at Stony brook university
(Berkeley AI) Multiagent problems using PACMAN
Python repository implementing several standard AI algorithms to navigate Pacman and play Pacman efficiently.
Pacman agent will search paths from maze to arrive at a certain destination and collect food efficiently
Projects done during Artificial Intelligence course at SBU
Project in Machine Learning | Minecraft Malmo AI
The artificially intelligent Pacman agent finds paths through a maze world, both to reach a particular location and to collect food efficiently using the search algorithms - Depth First Search, Breadth First Search, Uniform Cost Search, and A* search.
Reinforcement Learning Course Project - IIT Bombay Fall 2018
A collection of various pacman solving agents and their comparison.
Implementation of BFS, DFS, A*, HillClimber, Genetic, MCTS Agents
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