Aimbot-PPO/Aimbot-PPO-Python/Tensorflow/simple_test_env.ipynb
Koha9 742529ccd7 Archive all tensorflow agents and env
archive all TF py&ipynb
turn face to pytorch.
2022-10-26 03:15:37 +09:00

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{
"cells": [
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"from mlagents_envs.environment import UnityEnvironment\n",
"from gym_unity.envs import UnityToGymWrapper\n",
"\n",
"ENV_PATH = \"../Build-CloseEnemyCut/Aimbot-PPO\"\n",
"WORKER_ID = 2\n",
"BASE_PORT = 2002\n",
"\n",
"def main():\n",
" unity_env = UnityEnvironment(file_name=ENV_PATH,seed = 1,side_channels=[],worker_id = WORKER_ID,base_port=BASE_PORT)\n",
" env = UnityToGymWrapper(unity_env, uint8_visual=True,allow_multiple_obs=True)\n",
" env.reset()\n",
" for _ in range(1000):\n",
" env.render()\n",
" o,r,d,_ = env.step(env.action_space.sample()) #random action\n",
" if d:\n",
" env.reset()\n",
" env.close() \n",
" \n",
"\n",
"\n",
"if __name__ == '__main__':\n",
" main()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3.9.7 64-bit",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.7"
},
"orig_nbformat": 4,
"vscode": {
"interpreter": {
"hash": "86e2db13b09bd6be22cb599ea60c1572b9ef36ebeaa27a4c8e961d6df315ac32"
}
}
},
"nbformat": 4,
"nbformat_minor": 2
}