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0.1.1
0.1.2
0.10.0
0.10.1
0.11.0
0.11.0.dev0
0.11.0.dev1
0.11.0.dev2
0.11.0.dev3
0.12.0
0.12.0-dev
0.12.0.dev0
0.12.1
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0.12.1.dev1
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0.13.1
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0.14.1
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0.5.0
0.5.0a
0.6.0
0.6.0a
0.7.0
0.8.0
0.8.1
0.8.2
0.9.0
0.9.1
0.9.2
0.9.3
com.unity.ml-agents_1.0.0
com.unity.ml-agents_1.0.2
com.unity.ml-agents_1.0.3
com.unity.ml-agents_1.0.4
com.unity.ml-agents_1.0.5
com.unity.ml-agents_1.0.6
com.unity.ml-agents_1.0.7
com.unity.ml-agents_1.0.8
com.unity.ml-agents_1.1.0
com.unity.ml-agents_1.2.0
com.unity.ml-agents_1.3.0
com.unity.ml-agents_1.4.0
com.unity.ml-agents_1.5.0
com.unity.ml-agents_1.6.0
com.unity.ml-agents_1.7.0
com.unity.ml-agents_1.7.2
com.unity.ml-agents_1.8.0
com.unity.ml-agents_1.8.1
com.unity.ml-agents_1.9.0
com.unity.ml-agents_1.9.1
com.unity.ml-agents_2.0.0
com.unity.ml-agents_2.1.0
latest_release
python-packages_0.16.0
python-packages_0.16.1
python-packages_0.17.0
python-packages_0.18.0
python-packages_0.18.1
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python-packages_0.20.0
python-packages_0.21.0
python-packages_0.21.1
python-packages_0.22.0
python-packages_0.23.0
python-packages_0.24.0
python-packages_0.24.1
python-packages_0.25.0
python-packages_0.25.1
python-packages_0.26.0
python-packages_0.27.0
release_1
release_10
release_10_docs
release_11
release_11_docs
release_12
release_12_docs
release_13
release_13_docs
release_14
release_14_docs
release_15
release_15_docs
release_16
release_16_docs
release_17
release_17_docs
release_18
release_18_docs
release_1_docs
release_2
release_2_docs
release_2_verified_docs
release_3
release_3_docs
release_4
release_4_docs
release_5
release_5_docs
release_6
release_6_docs
release_7
release_7_docs
release_8
release_8_docs
release_8_test0
release_8_test1
release_9
release_9_docs
v0.1
ml-agents/ML-Agents-Input-Example
HH
README.md
ML-Agents Input System Package Example
Overview
This small example project shows how to integrate games that use the input system package with ML-Agents. This modified PushBlock scene has a PlayerController script which handles all of the input to control the cube. On it is an InputActuatorComponent which takes the actions associated with the gameObject from the PlayInput component and enables the simulation of input data in order to train and run inference with ml-agents.