{
  "name": "ml-q-learning",
  "version": "0.0.15",
  "description": "Library implementing the q-learning algorithm and several exploration algorithms.",
  "main": "./lib/q-learning-agent.js",
  "types": "./lib/q-learning-agent.d.ts",
  "scripts": {
    "start": "tsc -w",
    "maze-escape": "ts-node src/example/maze-escape.ts",
    "ts-node": "ts-node",
    "prepublish": "npm test && npm run build",
    "build": "rimraf lib && tsc",
    "test": "jest",
    "test:watch": "jest --watch"
  },
  "keywords": [
    "reinforcement learning",
    "q-learning",
    "machine learning",
    "reinforcement",
    "ml",
    "rl",
    "q",
    "exploration",
    "exploitation"
  ],
  "author": "Studio La Cosa Nostra <studiolacosanostra@gmail.com>",
  "homepage": "https://github.com/studioLaCosaNostra/ml-q-learning#readme",
  "repository": "https://github.com/studioLaCosaNostra/ml-q-learning",
  "license": "ISC",
  "devDependencies": {
    "@tensorflow/tfjs-node": "^0.3.2",
    "@types/jest": "^24.0.11",
    "fake-indexeddb": "^2.0.5",
    "husky": "^1.3.1",
    "jest": "^24.5.0",
    "rimraf": "^2.6.3",
    "ts-jest": "^24.0.0",
    "ts-node": "^8.0.3",
    "typescript": "^3.3.3333"
  },
  "dependencies": {
    "@tensorflow/tfjs-core": "^0.15.4",
    "dexie": "^2.0.4"
  },
  "husky": {
    "hooks": {
      "pre-commit": "npm test",
      "pre-push": "npm test"
    }
  }
}
