fchou / phillip

The SSBM "Phillip" AI.

#The Phillip AI An SSBM player based on Deep Reinforcement Learning.

##Rough Setup Steps:

Tested on: Ubuntu >=14.04, OSX

Requirements

1. A recent version of dolphin.

2. Python 3.

3. Tensorflow 0.11.

4. A few python packages

   pip3 install attrs

5. Install phillip:

   pip3 install -e .

Play

Trained agents are stored in the agents directory.

phillip --gui --human --start 0 --load agents/FalconFalconFD

Train

Training is controlled by train.py. See also runner.py and launcher.py for training massively in parallel on slurm clusters. Phillip has been trained at the MGHPCC.

Recordings

I've been streaming practice play over at http://twitch.tv/x_pilot. There are also some recordings on my youtube channel.

##Credits

Big thanks to https://github.com/altf4/SmashBot for getting me started, and to https://github.com/spxtr/p3 for a python memory watcher. Some code for dolphin interaction has been borrowed from both projects (mostly the latter now that I've switched to pure python).