msgpackinstalled. I have created an issue (stanfordnmbl/osim-rl#191) and will include it as a dependency in the next release. In the meantime please do add msgpack and msgpack_numpy to your conda environment (
pip install msgpack msgpack-numpy) before exporting the environment.yml
”debug”:trueto your aicrowd.json, then the evaluator will give you access to your evaluation logs if your evaluation fails. This can make debugging cycles much easier.
I just want to share with you my starter kit for this year competition - distributed DDPG agent based on Catalyst.RL framework.
Why I am doing this?
Based on all this I want to boost community activity in this competition and RL overall.
For more RL news and this competition insights - you can find me by twitter.