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Jan 23, 2020
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Update the basic example documentation #3281

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3 changes: 2 additions & 1 deletion docs/Learning-Environment-Examples.md
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Expand Up @@ -26,6 +26,7 @@ If you would like to contribute environments, please see our
* Goal: Move to the most reward state.
* Agents: The environment contains one agent.
* Agent Reward Function:
* -0.01 at each step
* +0.1 for arriving at suboptimal state.
* +1.0 for arriving at optimal state.
* Behavior Parameters:
Expand All @@ -34,7 +35,7 @@ If you would like to contribute environments, please see our
right).
* Visual Observations: None
* Float Properties: None
* Benchmark Mean Reward: 0.94
* Benchmark Mean Reward: 0.93

## [3DBall: 3D Balance Ball](https://youtu.be/dheeCO29-EI)

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