Comparison of tree search based and RL-based approaches for Pacman environment
In this project we use the Pac-Man environment developed in Berkeley University. For more information please visit source page
Requirenments:
- Python 2.7
To check the environment, run command below from pacman_multiagent/ directory:
python pacman.py -p ReflexAgent -l originalClassic
We have to implement two classes MonteCarloTreeSearchAgent and ReinforcementLearningAgent from pacman_multiagent/multiAgents.py file