There seems to be conflicting data on what the "OriginGeopoint" is. In the documentation it's referenced as the location of the PlayerStart while in code it's commented as the coordinates of Unreal level at the coordinates 0,0,0.

Code:
https://github.com/microsoft/AirSim/blob/e24a11d5985c1d6f573735f28a3844bc634559db/AirLib/include/common/AirSimSettings.hpp#L350

Documentation:
https://micro

In the Ray Design Agents documentation the Ray Perception parameter Ray Layer Mask is not mentioned. I am a bit confused about what does it do and if it interacts with the Detectable Tags parameter.

![Screenshot from 2020-04-12 18-57-18](https://user-images.githubusercontent.com/3236037

Is is possible to include the docs from https://carla.readthedocs.io/en/latest/python_api/#carla.Actor in the python library? I would prefer using the docs in my IDE rather than jumping into the browser when I have to look something up.

Thank you.

Description

Trax is a library for deep learning that focuses on sequence models and reinforcement learning. It combines performance with code clarity and maintained documentation and tests.
...

Sorry to bother, I'll be brief. I don't think the "maintained documentation" part of the statement is true (yet?). I like the work and I respect every project that goes deep down on neural network

Our default placeholders sometimes cause confusion, like in this thread. Perhaps different placeholders, like "[email protected]" and "YourTokenHere" will help with that.

Another thread: https://www.coursera.org/learn/practical-rl/discussions/all/threads/jxK8jdhzQ6iSvI3Yc-Oouw

Please specify in the the Configuration section of the documentation that Windows users need to remove the SSH entry pertaining to 10.0.0.2 from C:\Users\CurrentUser.ssh\known_hosts every time they update pwnagotchi, since the newly generated keys won't match the one in the known_hosts file.

The OpenAI Gym installation instructions are missing reference to the "Build Tools for Visual Studio 2019" from the following site.

https://visualstudio.microsoft.com/downloads/

I also found this by reading the following article.
https://towardsdatascience.com/how-to-install-openai-gym-in-a-windows-environment-338969e24d30

Even though this is an issue in the OpenAI gym, a note in this RE

I was surprised to see this loss function because it is generally used when the target is a distribution (i.e. sums to 1). This is not the case for the advantage estimate. However, I worked out the math and it does appear to be doing the right thing which is neat!

I think this trick should be mentioned in the code.

https://www.usenix.org/conference/opml19/program

Prepare to read papers