MushroomRL Benchmark¶
Reinforcement Learning python library¶
MushroomRL Benchmark is a benchmarking tool for the Mushroom RL library. The focus of this benchmarking tool is to benchmark the results of deep reinforcement learning algorithms, in particular Deep Actor-Critic. The idea behind MushroomRL Benchmarking is to have a complete platform to run batch comparisons of Deep RL algorithms implemented in MushroomRL under a set of standard benchmark tasks.
With MushroomRL Benchmarking you can:
- Run the benchmarks in a local machine, both sequentially and in parallel fashion
- Run experiments on a SLURM-based cluster.
Basic run example¶
Download and installation¶
MushroomRL Benchmark can be downloaded from the GitHub repository. Installation can be done running
cd mushroom-rl-benchmark
pip install -e .[all]
To compile the documentation:
cd mushroom-rl-benchmark/docs
make html
or to compile the pdf version:
cd mushroom-rl-benchmark/docs
make latexpdf