PacmanDQN

Deep Reinforcement Learning in Pac-man

Usage

To train a network on 10000 games and play 100 games on a medium-sized map, run:

python3 pacman.py -p PacmanDQN -n 10100 -x 10000 -l mediumClassic

Requirements

• python==3.5.1
• tensorflow==0.8rc

Acknoledgemenets

DQN Framework by (made for ATARI / Arcade Learning Environment)

• deepQN_tensorflow (https://github.com/mrkulk/deepQN_tensorflow)

Pac-man implementation by UC Berkeley:

• The Pac-man Projects - UC Berkeley (http://ai.berkeley.edu/project_overview.html)