This section is still to be written. Refer to [Getting Started with the Balance Ball Environment](Getting-Started-with-Balance-Ball.md) for a walk-through of the PPO training process.
This section is still to be written. Refer to [Getting Started with the 3D Balance Ball Environment](Getting-Started-with-Balance-Ball.md) for a walk-through of the PPO training process.
"This notebook contains a walkthrough of the basic functions of the Python API for Unity MLAgents. For instructions on building a Unity environment, see [here](https://github.com/Unity-Technologies/ml-agents/wiki/Getting-Started-with-Balance-Ball)."
"This notebook contains a walkthrough of the basic functions of the Python API for Unity ML-Agents. For instructions on building a Unity environment, see [here](https://github.com/Unity-Technologies/ml-agents/blob/master/docs/Getting-Started-with-Balance-Ball.md)."
]
},
{
"### 1. Load dependencies"
"### 1. Set environment parameters\n",
"\n",
"Be sure to set `env_name` to the name of the Unity environment file you want to launch."
"metadata": {
"collapsed": true
},
"metadata": {},
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"\n",
"from unityagents import UnityEnvironment\n",
"\n",
"%matplotlib inline"
"env_name = \"3DBall\" # Name of the Unity environment binary to launch\n",
"train_mode = True # Whether to run the environment in training or inference mode"
]
},
{
"### 2. Set environment parameters\n",
"\n",
"Be sure to set `env_name` to the name of the Unity environment file you want to launch."
"### 2. Load dependencies"
"metadata": {
"collapsed": true
},
"metadata": {},
"env_name = \"3DBall\" # Name of the Unity environment binary to launch\n",
"train_mode = True # Whether to run the environment in training or inference mode"