[Documentation] Added note for environments that do not train #1995
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…nnot train with the default configurations
xiaomaogy
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Apr 30, 2019
eshvk
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May 1, 2019
…nnot train with the default configurations (#1995)
shihzy
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May 1, 2019
* Update Learning-Environment-Create-New.md Section : Final Editor Setup - Step 3. It says: Drag the Brain RollerBallPlayer from the Project window to the RollerAgent Brain field. Should say: Drag the Brain RollerBallBrain from the Project window to the RollerAgent Brain field. * Develop black format fix (#1998) * fixed the format * changed the circleci config * [Gym] Added no_graphics argument (#1997) > Added the no_graphics argument to the gym interface. #1413 * [Documentation] SetReward method (#1996) Added a paragraph in the docs/Learning-Environment-Design-Agents.md document regarding the use of SetReward and how it is different from AddReward * [Documentation] Added information for the environments the trainer cannot train with the default configurations (#1995) * Format gym_unity using black
mantasp
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Jun 14, 2019
* develop-barracuda-0.2.0: (80 commits) Restored compatibility fixes for some Androids Upgraded to Barracuda 0.2.1, fixes issues with discrete action models First stage of ML Agents update to Barracuda 0.2.x Update Learning-Environment-Create-New.md (#1993) Format gym_unity using black [Documentation] Added information for the environments the trainer cannot train with the default configurations (#1995) [Documentation] SetReward method (#1996) [Gym] Added no_graphics argument (#1997) Develop black format fix (#1998) Add exception for external brains and array-ify (#1971) Enable the switching of scene to control mode, load the corresponding scene using environment variable (#1956) Add use curiosity in Hallway example environment (#1952) Python code reformat via [`black`](https://github.com/ambv/black). Features: - Reformat code via black. - Adding circleci configurations. - Add contribution guidelines. Fix custom protobuf link in README Bumping gym_unity version Release 0.8.1 to fix pypi issues Explicitly adding all packages as imports Migration doc fixes Basic Retrain (#1929) Updated the 3dballhard model ... # Conflicts: # UnitySDK/Assets/ML-Agents/Examples/3DBall/TFModels/3DBallHardLearning.nn # UnitySDK/Assets/ML-Agents/Examples/3DBall/TFModels/3DBallHardLearning.nn.meta # UnitySDK/Assets/ML-Agents/Examples/3DBall/TFModels/3DBallLearning.bytes.meta # UnitySDK/Assets/ML-Agents/Examples/3DBall/TFModels/3DBallLearning.nn # UnitySDK/Assets/ML-Agents/Examples/3DBall/TFModels/3DBallLearning.nn.meta # UnitySDK/Assets/ML-Agents/Examples/BananaCollectors/TFModels/BananaLearning.nn # UnitySDK/Assets/ML-Agents/Examples/BananaCollectors/TFModels/BananaLearning.nn.meta # UnitySDK/Assets/ML-Agents/Examples/Basic/Brains/BasicLearning.asset # UnitySDK/Assets/ML-Agents/Examples/Basic/TFModels/BasicLearning.bytes.meta # UnitySDK/Assets/ML-Agents/Examples/Basic/TFModels/BasicLearning.nn # UnitySDK/Assets/ML-Agents/Examples/Basic/TFModels/BasicLearning.nn.meta # UnitySDK/Assets/ML-Agents/Examples/Bouncer/TFModels/BouncerLearning.nn # UnitySDK/Assets/ML-Agents/Examples/Bouncer/TFModels/BouncerLearning.nn.meta # UnitySDK/Assets/ML-Agents/Examples/Crawler/TFModels/CrawlerDynamicLearning.nn # UnitySDK/Assets/ML-Agents/Examples/Crawler/TFModels/CrawlerDynamicLearning.nn.meta # UnitySDK/Assets/ML-Agents/Examples/Crawler/TFModels/CrawlerStaticLearning.bytes.meta # UnitySDK/Assets/ML-Agents/Examples/Crawler/TFModels/CrawlerStaticLearning.nn # UnitySDK/Assets/ML-Agents/Examples/Crawler/TFModels/CrawlerStaticLearning.nn.meta # UnitySDK/Assets/ML-Agents/Examples/GridWorld/Scenes/GridWorld.unity # UnitySDK/Assets/ML-Agents/Examples/GridWorld/TFModels/GridWorldLearning.nn # UnitySDK/Assets/ML-Agents/Examples/GridWorld/TFModels/GridWorldLearning.nn.meta # UnitySDK/Assets/ML-Agents/Examples/Hallway/TFModels/HallwayLearning.nn # UnitySDK/Assets/ML-Agents/Examples/Hallway/TFModels/HallwayLearning.nn.meta # UnitySDK/Assets/ML-Agents/Examples/PushBlock/TFModels/PushBlockLearning.nn # UnitySDK/Assets/ML-Agents/Examples/PushBlock/TFModels/PushBlockLearning.nn.meta # UnitySDK/Assets/ML-Agents/Examples/Pyramids/TFModels/PyramidsLearning.nn # UnitySDK/Assets/ML-Agents/Examples/Pyramids/TFModels/PyramidsLearning.nn.meta # UnitySDK/Assets/ML-Agents/Examples/Reacher/TFModels/ReacherLearning.nn # UnitySDK/Assets/ML-Agents/Examples/Reacher/TFModels/ReacherLearning.nn.meta # UnitySDK/Assets/ML-Agents/Examples/Soccer/TFModels/GoalieLearning.nn # UnitySDK/Assets/ML-Agents/Examples/Soccer/TFModels/GoalieLearning.nn.meta # UnitySDK/Assets/ML-Agents/Examples/Soccer/TFModels/StrikerLearning.nn # UnitySDK/Assets/ML-Agents/Examples/Soccer/TFModels/StrikerLearning.nn.meta # UnitySDK/Assets/ML-Agents/Examples/Tennis/Brains/TennisLearning.asset # UnitySDK/Assets/ML-Agents/Examples/Tennis/TFModels/TennisLearning.nn # UnitySDK/Assets/ML-Agents/Examples/Tennis/TFModels/TennisLearning.nn.meta # UnitySDK/Assets/ML-Agents/Examples/Walker/TFModels/WalkerLearning.nn # UnitySDK/Assets/ML-Agents/Examples/Walker/TFModels/WalkerLearning.nn.meta # UnitySDK/Assets/ML-Agents/Examples/WallJump/TFModels/BigWallJumpLearning.nn # UnitySDK/Assets/ML-Agents/Examples/WallJump/TFModels/BigWallJumpLearning.nn.meta # UnitySDK/Assets/ML-Agents/Examples/WallJump/TFModels/SmallWallJumpLearning.nn # UnitySDK/Assets/ML-Agents/Examples/WallJump/TFModels/SmallWallJumpLearning.nn.meta # UnitySDK/Assets/ML-Agents/Plugins/Barracuda.Core/Barracuda.md # UnitySDK/Assets/ML-Agents/Plugins/Barracuda.Core/Barracuda/Barracuda.dll # UnitySDK/Assets/ML-Agents/Plugins/Barracuda.Core/Barracuda/Resources/Activation.compute # UnitySDK/Assets/ML-Agents/Plugins/Barracuda.Core/Barracuda/Resources/BarracudaReferenceImpl.compute # UnitySDK/Assets/ML-Agents/Plugins/Barracuda.Core/Barracuda/Resources/Broadcast.compute # UnitySDK/Assets/ML-Agents/Plugins/Barracuda.Core/Barracuda/Resources/Conv.compute # UnitySDK/Assets/ML-Agents/Plugins/Barracuda.Core/Barracuda/Resources/ConvOld.compute # UnitySDK/Assets/ML-Agents/Plugins/Barracuda.Core/Barracuda/Resources/Dense.compute # UnitySDK/Assets/ML-Agents/Plugins/Barracuda.Core/Barracuda/Resources/DenseFP16.compute # UnitySDK/Assets/ML-Agents/Plugins/Barracuda.Core/Barracuda/Resources/Experimental.compute # UnitySDK/Assets/ML-Agents/Plugins/Barracuda.Core/Barracuda/Resources/FastNV.compute # UnitySDK/Assets/ML-Agents/Plugins/Barracuda.Core/Barracuda/Resources/Generic.compute # UnitySDK/Assets/ML-Agents/Plugins/Barracuda.Core/Barracuda/Resources/Random.cginc # UnitySDK/Assets/ML-Agents/Plugins/Barracuda.Core/Barracuda/Resources/Tensor.cginc # UnitySDK/Assets/ML-Agents/Plugins/Barracuda.Core/Barracuda/Resources/TexConv.compute # UnitySDK/Assets/ML-Agents/Plugins/Barracuda.Core/LICENSE.md.meta # UnitySDK/Assets/ML-Agents/Plugins/Barracuda.Core/ReleaseNotes.md # UnitySDK/Assets/ML-Agents/Plugins/Barracuda.Core/ReleaseNotes.md.meta # UnitySDK/Assets/ML-Agents/Plugins/Barracuda.Core/package.json # UnitySDK/Assets/ML-Agents/Resources/NNModelIcon.png # UnitySDK/Assets/ML-Agents/Resources/NNModelIcon.png.meta # UnitySDK/Assets/ML-Agents/Scripts/Academy.cs # UnitySDK/Assets/ML-Agents/Scripts/InferenceBrain/BarracudaModelParamLoader.cs # UnitySDK/Assets/ML-Agents/Scripts/InferenceBrain/GeneratorImpl.cs # UnitySDK/Assets/ML-Agents/Scripts/LearningBrain.cs # UnitySDK/ProjectSettings/ProjectSettings.asset # docs/Basic-Guide.md # docs/Unity-Inference-Engine.md # docs/Using-TensorFlow-Sharp-in-Unity.md # ml-agents/mlagents/trainers/barracuda.py # ml-agents/mlagents/trainers/policy.py # ml-agents/mlagents/trainers/tensorflow_to_barracuda.py
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Added information for the environments the trainer cannot train with the default configurations