TODO: Have server use mp - one thread for server, one for testing. Keep counter to know once finished. Also be able to send push notifications to kill running clients once counter done.
Distributed asynchronous advantage actor-critic (A3C) [1] with generalised advantage estimation (GAE) [2]. Run python server.py <options>
to start the server and python client.py <options>
for as many clients as wanted.
To install all dependencies with Anaconda run conda env create -f environment.yml
and use source activate dista3c
to activate the environment.
[1] Asynchronous Methods for Deep Reinforcement Learning
[2] High-Dimensional Continuous Control Using Generalized Advantage Estimation