* [CoreBrain] Bug fix in the internal brain
Discrete vector observations did not have the right size
* [Docs] Removed all references to the unitypackages other than the TensorFlowSharp.unitypackage
.
* [Basic] Updated the bytes file of basic
* [Docs] Addressed comments
* [Docs] Re-addressed the comments
* [Bug Fix] Scalling the visual input between 0 and 1
* [Comments] Added comments to the
BatchVisualObservations method of the CoreInternalBrain.
* [Renaming] Renamed BlackAndWhite to blackAndWhite
Fixes the following issues:
* Missing component reference in BananaRL environment.
* Neural Network for multiple visual observations was not properly generated.
* Episode time-out value estimate bootstrapping used incorrect observation as input.
There were some important things that should have been mentioned in this tutorial, and it took me a while to figure them out. Most importantly, it was never mentioned how to properly end a training session in the Anaconda prompt to receive an exported .bytes file.
I added more comments to explain why using python 3.5, Tensorflow 1.4.0, and comments and links for Visual Studio 2015.
I erased the docopt installation and the part for the folders:
Had to paste this “lib” folder from C:\Program Files (x86)\Microsoft Visual Studio 14.0\lib
Into C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\PlatformSDK\lib
Because this might have been only a problem for me. Thanks,
GitHub
Chris Lu
Marwan Mattar
Vincent Gao
Arthur Juliani