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Add GridSensors to the documentation (#5333)

* add grid sensor to design agent doc
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  1. 58
      docs/Learning-Environment-Design-Agents.md
  2. 1001
      docs/images/grid_sensor.png

58
docs/Learning-Environment-Design-Agents.md


- Use as few rays and tags as necessary to solve the problem in order to improve
learning stability and agent performance.
### Grid Observations
Grid-base observations combine the advantages of 2D spatial representation in
visual observations, and the flexibility of defining detectable objects in
RayCast observations. The sensor uses a set of box queries in a grid shape and
gives a top-down 2D view around the agent. This can be implemented by adding a
`GridSensorComponent` to the Agent GameObject.
During observations, the sensor detects the presence of detectable objects in
each cell and encode that into one-hot representation. The collected information
from each cell forms a 3D tensor observation and will be fed into the
convolutional neural network (CNN) of the agent policy just like visual
observations.
![Agent with GridSensorComponent](images/grid_sensor.png)
The sensor component has the following settings:
- _Cell Scale_ The scale of each cell in the grid.
- _Grid Size_ Number of cells on each side of the grid.
- _Agent Game Object_ The Agent that holds the grid sensor. This is used to
disambiguate objects with the same tag as the agent so that the agent doesn't
detect itself.
- _Rotate With Agent_ Whether the grid rotates with the Agent.
- _Detectable Tags_ A list of strings corresponding to the types of objects that
the Agent should be able to distinguish between.
- _Collider Mask_ The [LayerMask](https://docs.unity3d.com/ScriptReference/LayerMask.html)
passed to the collider detection. This can be used to ignore certain types
of objects.
- _Initial Collider Buffer Size_ The initial size of the Collider buffer used
in the non-allocating Physics calls for each cell.
- _Max Collider Buffer Size_ The max size of the Collider buffer used in the
non-allocating Physics calls for each cell.
The observation for each grid cell is a one-hot encoding of the detected object.
The total size of the created observations is
```
GridSize.x * GridSize.z * Num Detectable Tags
```
so the number of detectable tags and size of the grid should be kept as small as
possible to reduce the amount of data used. This makes a trade-off between the
granularity of the observation and training speed.
To allow more variety of observations that grid sensor can capture, the
`GridSensorComponent` and the underlying `GridSensorBase` also provides interfaces
that can be overridden to collect customized observation from detected objects.
See the doc on
[extending grid Sensors](https://github.com/Unity-Technologies/ml-agents/blob/release_17/com.unity.ml-agents.extensions/Documentation~/CustomGridSensors.md)
for more details on custom grid sensors.
#### Grid Observation Summary & Best Practices
- Attach `GridSensorComponent` to use.
- This observation type is best used when there is relevant non-visual spatial information that
can be best captured in 2D representations.
- Use as small grid size and as few tags as necessary to solve the problem in order to improve
learning stability and agent performance.
### Variable Length Observations
It is possible for agents to collect observations from a varying number of

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