Michael Everett

Michael Everett, Justin Miller, Jonathan P. How. "Planning Beyond the Sensing Horizon Using a Learned Context", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019 (https://arxiv.org/abs/1908.09171)

I'm not sure about this one, seems beyond the scope of this repo. Also, it is recommended to paste the text of the error in a code block (`like this`),...

There is a (possibly outdated) [package](https://pypi.org/project/gym-collision-avoidance/) available through pypi, but I wonder if it requires an older version of python than what you have? I doubt that python constraint is...

Ah, I see. That explains why we had the python < 3.8 requirement -- some of the code was written a while ago (before tensorflow 2) and it seems like...

Thanks! That is great you were able to train some new policies. There is some capability to run the trained policy in random scenarios within this repo, but I don't...

Cool! I'll take a look! Thanks for sharing

Does it work with dt=0.1? I recall that we used dt=0.2 in training to expedite the process but dt=0.1 in evaluation

Hmm that does seem like the right checkpoint file. I can try to run this again locally and let you know if I see the same thing. We used a...

I'm running the `SmallTestSuite` config with 2 agents locally. I'm able to replicate the SA-CADRL trajectories, but there must be something that's changed with the GA3C-CADRL-10 policy since generating those...

Hi - I spent some time digging up and running old versions of the code (from 2018) and am not having any success. My current hypothesis is that there might...