Merge pull request #413 from Unity-Technologies/docs/examples-learning-environment-fix

Docs/examples learning environment fix
7 年前 · 6cf103e0
--- a/docs/Learning-Environment-Examples.md
+++ b/docs/Learning-Environment-Examples.md

 * Set-up: Two-player game where agents control rackets to bounce ball over a net. 
 * Goal: The agents must bounce ball between one another while not dropping or sending ball out of bounds.
-* Agents: The environment contains two agent linked to a single brain.
+* Agents: The environment contains two agent linked to a single brain named TennisBrain. After training you can attach another brain named MyBrain to one of the agent to play against your trained model. 
 * Agent Reward Function (independent): 
    * +0.1 To agent when hitting ball over net.
    * -0.1 To agent who let ball hit their ground, or hit ball out of bounds.
--- a/unity-environment/Assets/ML-Agents/Examples/Tennis/Tennis.unity
+++ b/unity-environment/Assets/ML-Agents/Examples/Tennis/Tennis.unity
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