/// <inheritdoc/>
public override void Initialize()
{
m_IsTraining = Academy.Instance.IsCommunicatorOn;
m_ValidActions = new List <int>(5);
m_Directions = new Vector2Int[]
{
Vector2Int.zero,
Vector2Int.up,
Vector2Int.down,
Vector2Int.left,
Vector2Int.right
};
int length = m_LookDistance * 2 + 1;
// The ColorGridBuffer supports PNG compression.
m_SensorBuffer = new ColorGridBuffer(Maze.NumChannels, length, length);
var sensorComp = GetComponent <GridSensorComponent>();
sensorComp.GridBuffer = m_SensorBuffer;
// Labels for sensor debugging.
sensorComp.ChannelLabels = new List <ChannelLabel>()
{
new ChannelLabel("Wall", new Color32(0, 128, 255, 255)),
new ChannelLabel("Food", new Color32(64, 255, 64, 255)),
new ChannelLabel("Visited", new Color32(255, 64, 64, 255)),
};
}
/// <summary>
/// Invoked by <see cref="Controller"/> after it randomized the <see cref="Maze"/>.
/// </summary>
/// <param name="buffer">The <see cref="Maze"/>'s <see cref="GridBuffer"/></param>
/// <param name="spawnPos">The agents spawn position on the grid</param>
public void StartEpisode(GridBuffer buffer, Vector2Int spawnPos)
{
m_MazeBuffer ??= buffer;
m_GridPosition = spawnPos;
m_LocalPosNext = new Vector3(spawnPos.x, 0, spawnPos.y);
transform.localPosition = m_LocalPosNext;
}
