Search in Pac-Man using BFS DFS UCS Astar
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Updated
Jun 10, 2018 - Python
Search in Pac-Man using BFS DFS UCS Astar
This is a simple Pacman game created in python that runs on the terminal
Customizable Pac-Man Game with special abilities
👻 Solutions for the course "CS188: Artificial Intelligence" of University of California, Berkeley.(加州大学伯克利分校《CS188:人工智能》的课程作业。)
Chip-8 emulator in Python -> Pong, Space Invaders, Tetris, Pac-Man and many more
A grid-based environment where Pac-Man learns to act by modeling the beliefs of ghost agents. Built for research in belief-aware policies, theory of mind, and multi-agent RL.
This repo was a short term project for CSCI 4511W (Artificial Intelligence) that uses a custom implementation of Pac-Man to compare different pathfinding algorithms.
An implementation of the UC Berkeley's "Introduction to Artificial Intelligence" (CS 188) course's Pac-Man project.
This research investigates the integration of theory of mind into reinforcement learning, enabling an agent to make decisions based on the inferred beliefs and intentions of other agents and its own environmental observations.
Training cooperative behaviour in Ghosts to capture Pac-Man using multi-agent deep reinforcement learning
The Berkeley's Pac-Man projects
Model-Based Reflex Agent Design of Pac-Man Strategies with Support of Pathfinding Algorithms in a Partially Observable Environment
Berkeley Pacman Projects and Kakuro solver
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