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A Python wrapper for Google Tesseract

Text mode diagrams using UTF-8 characters and fancy colors

Maze Applied Reinforcement Learning Framework

• reinforcement-learning
• python
• machine-learning
• simulation

In this project, the Pacman agent will find paths through his maze world, both to reach a particular location and to collect food efficiently. I implemented general search algorithms such as depth-first, breadth-first, uniform cost, and A* search algorithms which are used to solve navigation problems in the Pacman world.