OrangeC | OrangeC Compiler And Tool Chain | Compiler library
kandi X-RAY | OrangeC Summary
kandi X-RAY | OrangeC Summary
OrangeC Compiler And Tool Chain. Project Build Status: [Build status Travis-CI] Documentation status: [Documentation Status] Coverity scan status: [Coverity Scan Build Status] Orange C is currently a Win32 C++ compiler. Long term it is going to be retargetable. The Orange C package also includes a C compiler for .Net, which compiles to MSIL/CIL. It is an offshoot of Orange C that is retarged for .NET. Documentation may be found here: [OCCIL documentation] doc/occil.md). Source Code for Orange C is released under the GNU General Public License version 3. This compiler comes in an install package with an IDE suitable for developing WIN32 programs. Help files are included; the source format for the help files is HELPSCRIBBLE’s HSC format. The compiler can be built with various C++11 compilers, however, by default it is configured to use the Visual Studio 2017 community edition. A solution exists which will build all files in the project, or you can use the project’s omake program to build it from the command line (you can also use MSBUILD if so inclined).
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QUESTION
I built a simulation model where trucks collect garbage containers based on their fill level. I used OpenAi Gym and Tensorflow/keras to create my Deep Reinforcement Learning model... But my training has a very high loss... Where did I go wrong? Thanks in advance
this is the Env
...ANSWER
Answered 2022-Mar-25 at 02:47loss does not really matter in RL. Very high loss is actually normal. In RL we care the reward most.
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