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README.md

rllab++

rllab++ is a framework for developing and evaluating reinforcement learning algorithms, built on rllab. It has the following implementations besides the ones implemented in rllab:

The codes are experimental, and may require tuning or modifications to reach the best reported performances.

Installation

Please follow the basic installation instructions in rllab documentation.

Examples

From the launchers directory, run the following, with optional additional flags defined in launcher_utils.py:

python algo_gym_stub.py --exp=<exp_name> 

Flags include:

The experiment will be saved in /data/local/<exp_name>.

Citations

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

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