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https://github.com/gsi-upm/sitc
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updated to last version of OpenGym
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parent
c9114cc796
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@ -97,16 +97,19 @@
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"source": [
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"import gym\n",
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"\n",
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"env = gym.make('CartPole-v0')\n",
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"env = gym.make(\"CartPole-v1\")\n",
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"#env = gym.make('MountainCar-v0')\n",
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"#env = gym.make('Taxi-v2')\n",
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"\n",
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"#env = gym.make('Jamesbond-ram-v0')\n",
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"\n",
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"env.reset()\n",
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"observation = env.reset()\n",
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"for _ in range(1000):\n",
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" env.render()\n",
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" env.step(env.action_space.sample()) # take a random action"
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" env.render()\n",
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" action = env.action_space.sample() # your agent here (this takes random actions)\n",
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" observation, reward, done, info = env.step(action)\n",
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"\n",
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" if done:\n",
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" observation = env.reset()\n",
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"env.close()"
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]
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},
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{
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@ -403,6 +406,15 @@
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}
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],
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"metadata": {
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"datacleaner": {
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"position": {
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"top": "50px"
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},
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"python": {
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"varRefreshCmd": "try:\n print(_datacleaner.dataframe_metadata())\nexcept:\n print([])"
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},
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"window_display": false
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},
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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@ -418,7 +430,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.5.5"
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"version": "3.7.9"
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},
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"latex_envs": {
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"LaTeX_envs_menu_present": true,
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