RSRL (api)
Reinforcement learning should be fast, safe and easy to use.
Overview
rsrl provides generic constructs for running reinforcement learning (RL)
experiments by providing a simple, extensible framework and efficient
implementations of existing methods for rapid prototyping.
Installation
[]
= "0.2"
Usage
The code below shows how one could use rsrl to evaluate a
GreedyGQ agent
using a Fourier basis function approximator to solve the canonical mountain car
problem.
See examples/ for more...
Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Please make sure to update tests as appropriate and adhere to the angularjs commit message conventions (see here).