chris

Thanks @barbeau - yes I thought something was a bit odd - yes the files are plain text, which from my understanding is not the usual way of sending protobuf....

So, to clarify, I'm looking at plain-text snapshots of the binary protobuf data, but I only have access to the plain text. Any way to recover or parse the data...

Yup, its definitely the latter (a JSON-ized version of an actual message). But, it doesn't look exactly like JSON to me (if so it would have an array of `entities`,...

I agree with this - it's really hard to debug the issue when I get this error. In my case, I'm passing a cloud path to another library, and the...

I overcame the OpenMP error by setting the following env variables (from this SO)[https://stackoverflow.com/questions/48825416/missing-openmp-c-flags-openmp-c-lib-names]: ``` export CC=/usr/local/opt/llvm/bin/clang export CXX=/usr/local/opt/llvm/bin/clang++ export LDFLAGS="-L/usr/local/opt/llvm/lib" export CPPFLAGS="-I/usr/local/opt/llvm/include" ``` I also had to install the...

Hi Tessa, thanks! That's a nice idea. I created a class called `MazeWorld` encoding the grid-world environment, but of course, the empowerment calculation is general and you can implement whatever...

Those functions look great, and can be added as methods of MazeWorld (just like `add_wall`). You can then call them when you build your own dynamically moving maze world (you'll...

I would happily accept a PR with those changes

For future travellers: I've found that using `example.final_cfs_df_sparse` returns the desired precision in the predictions. I haven't found a way to keep the original precision in the "instance" df

As for the "instance" dataframe, my best solution was to simply use the original dataframe passed to DiCE rather than use it's output. As for the predicted target value, simply...