DDDQN-Bird

Flappy Bird with a Double Dueling Deep Q-Network

Game adapted from: https://github.com/sourabhv/FlapPyBird

Quickstart

All requirements are saved in environment.yml

• install Miniconda
• cd into the root directory of this repository
• create a new environment from the environment.yml file

conda env create -f environment.yml

• activate the new environment

conda activate rl

# on fedora
export LD_PRELOAD=/usr/lib64/libstdc++.so.6

Synopsis

Play normal flappy bird

python dddqn-flappy.py play

Train a model

python dddqn-flappy.py train --headless --episodes 100000

Evaluate a trained model

A model trained for 75000 simulations is saved in checkpoints/

python dddqn-flappy.py evaluate PATH/TO/TRAINED/MODEL