package.json

{
  "name": "slm_lab",
  "version": "2.1.2",
  "description": "Modular Deep Reinforcement Learning framework in PyTorch.",
  "main": "index.js",
  "scripts": {
    "start": "python run_lab.py",
    "debug": "LOG_LEVEL=DEBUG python run_lab.py",
    "debug2": "LOG_LEVEL=DEBUG2 python run_lab.py",
    "debug3": "LOG_LEVEL=DEBUG3 python run_lab.py",
    "retro_analyze": "python -c 'import sys; from slm_lab.experiment import retro_analysis; retro_analysis.retro_analyze(sys.argv[1])'",
    "retro_eval": "python -c 'import sys; from slm_lab.experiment import retro_analysis; retro_analysis.retro_eval(sys.argv[1])'",
    "reset": "rm -rf data/* .cache __pycache__ */__pycache__ *egg-info .pytest* htmlcov .coverage* *.xml",
    "kill": "pkill -f run_lab; pkill -f slm-env; pkill -f ipykernel; pkill -f ray; pkill -f orca; pkill -f Xvfb",
    "update": "conda env update -f environment.yml; yarn install;",
    "export-env": "conda env export > environment.yml",
    "build": "docker build -t kengz/slm_lab:latest -t kengz/slm_lab:v$v .",
    "test": "python setup.py test"
  },
  "repository": "https://github.com/kengz/SLM-Lab.git",
  "author": "kengz <kengzwl@gmail.com>, lgraesser",
  "license": "MIT",
  "private": false,
  "dependencies": {
    "slm-env-2dball": "^2.0.0",
    "slm-env-3dball": "^2.0.0",
    "slm-env-gridworld": "^2.0.0",
    "slm-env-reacher-discrete": "^2.0.0",
    "slm-env-tennis": "^2.0.0"
  }
}