This repository contains the code for the Nash-DQN algorithm for general-sum multi-agent reinforcement learning. The associated paper "Deep Q-Learning for Nash Equilibria: Nash-DQN" can be found at https://arxiv.org/abs/1904.10554.
INSTRUCTIONS:
To generate plots based on pre-trained network:
- Open file "Visualization.ipynb" and run all cells
To train network based on default parameters:
- Open file "Training.ipynb" and run cell with appropiate parameters
- Open file "Visualization.ipynb"
- Change variable net_file_name to the designated file name of Action Network
- Run all cells to generate plots