vr
- gym-vr: a pip package for VR gym environment
- dqn: a deep Q-Learn model
- netDelay: source code for generating ./Program
- FYI
- log: set of logs extracted from ouput of MI analyzers
- set of analyzers: the analyzer scripts I am using
First we need to install VR training environment by
cd VR_REIN
pip install -e .
This environment strictly follows package "gym"'s requirement, which gives observation, reward for each action in action space.
Then we start a sample server which listens to 127.0.0.1 with port number 9999 by
cd netDelay/server
./Program
Then we run the model by
cd dqn
python dqn.py