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ExperimentLab

A suite of flexible experiments of a variety of different tasks.

Installation

To create a conda environment for this package use the following commands to do so

conda create -n experiment_lab python=3.11 -y
conda activate experiment_lab

Install the version of pytorch that is compatible with your hardware using the pip or conda command from their website.

To just install the experiment runner framework in one command:

pip install experiment-lab

or

pip install git+https://github.com/rishavb123/ExperimentLab.git

For specific optional dependencies use:

pip install -e "experiment-lab[{name}]"

where {name} can be all, ml, rl, rl-vid, or dev.

To test this installation, try this command (after logging into wandb with wandb login):

run_mc --config-name estimate_pi

which should run a monte carlo experiment to estimate the value of pi. See the experiments project in wandb to view the results of this experiment.

To install this package directly from the github reposity use the following commands:

git clone https://github.com/rishavb123/ExperimentLab.git
cd ExperimentLab
pip install -e .

As a test, try running the following script:

python experiment_lab/experiments/examples/random_waits.py n_runs=20 n_run_method=parallel seed=0

For specific optional dependencies use:

pip install -e ".[{name}]"

where {name} can be all, ml, rl, rl-vid, or dev.

Debugging Tips

Recording Videos on RL experiments

The video recording wrapper from the stable baselines library requires a few dependencies that must be installed before it can be used.

  1. Install moviepy to your python environment. This can be done using through this package via:
pip install "experiment_lab[rl-vid]"

or directly using,

pip install moviepy
  1. Install ffmpeg on your system using the following command (depending on your OS):
  • Ubuntu: sudo apt install ffmpeg
  • Mac: brew instlal ffmpeg
  • Windows: Follow the instructions here. Note that I did not write or review this instructions.
  1. Make sure to set the location of the ffmpeg binary to the `$IMAGEIO_F

Also, it should be noted that there are some issues with using the multiprocessing vector environment with the video recorder. Ensure that the start_method set in the RL config is "spawn" (which is the default if it is left as None) for best results. On MacOS, see this page for potential problems with using "fork".

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