DQN for Pathery

This project implements the Deep Q-Network (DQN) reinforcement learning algorithm for the game Pathery.

• It uses Pytorch for the neural networks, Tensorboard for model training progress visualization, and my Pathery Gymnasium.

Status [8/31/2024]

I am currently experimenting with different model sizes, algorithm parameters, and rewards. My goal is to train the agent to be able to solve at least one "Normal" puzzle.

I plan to try a convolutional neural network. I also plan to implement action masking.

Tensorboard Training Progress Visualization

C++ Prioritized Experience Replay

pip install pybind11
cd cpp_modules
python setup.py build_ext --inplace