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Welcome to rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms.

rllab is a work in progress, input is welcome. The available documentation is limited for now.

User Guide

The rllab user guide explains how to install rllab, how to run experiments, and how to implement new MDPs and new algorithms.

.. toctree::
   :maxdepth: 2

   user/installation
   user/experiments
   user/gym_integration
   user/implement_env
   user/implement_algo_basic
   user/implement_algo_advanced
   user/cluster


Citing rllab

If you use rllab for academic research, you are highly encouraged to cite the following paper:

Indices and tables