SLM Lab

Modular Deep Reinforcement Learning framework in PyTorch.

Documentation:
https://slm-lab.gitbook.io/slm-lab/

Steps to install

docker run -it --name ubuntu_16_04_slm_lab -e DISPLAY=${DISPLAY} -v /tmp/.X11-unix:/tmp/.X11-unix ubuntu:16.04

Install conda from https://docs.continuum.io/anaconda/. Put conda executable in the PATH
conda update conda
conda init
Exit shell, reenter shell
git clone https://github.com/andrei-radulescu-banu/SLM-Lab.git
cd SLM-Lab/
./bin/setup
conda install tensorflow
conda activate lab
pip install future

Examples:

python andrei/reinforce.py
python run_lab.py slm_lab/spec/demo.json dqn_cartpole dev
python run_lab.py slm_lab/spec/experimental/ppo/ppo_eps_search.json ppo_breakout dev
In general, python run_lab.py {spec_file} {spec_name} {lab_mode}, where lab_mode can be dev|train|search|enjoy@saved_agent. See Sec. 11.3.1 in the book.

Note: You need Ubuntu 16.04. This will not work on Ubuntu 14.04, or 18.04. Nor on Centos 7.