Costa Huang
Costa Huang
Thanks Yifu! Have you successfully run training with this?
Everything looks good, except one last thing. Would you mind adding a section in the README.md file in the roof folder of this project to explain how to run things?...
This is a very practical consideration. As a preliminary fix, I randomly pick one of the three opponents with the highest quality scores, which IMO helps to a certain extent....
> As an example, 2 presets are implemented: AlphaStar OpenFive (not sure if it's required to sample based on MMR), not that implementation turned out to be almost trivial based...
Looked further into this. Do we have a sense of how "fast" the training is? So if we run `poetry run python run_league.py --config-file league_alphastar.yaml` for 24 hours, what's the...
Oh, this makes sense. It would be useful to cover! That said, hopefully, we can also train really strong agents without the help of human-engineered bots :)
Unfortunately, I wasn't able to reproduce the best past results in https://wandb.ai/costa-huang/gym-microrts/runs/17moy8qp. Maybe I need to run with the default parameters in https://wandb.ai/vwxyzjn/gym-microrts-paper/runs/asrpz468 (--num-bot-envs 48)
Actually, I am going to try to use #34 to run the following. I'd rather not have to wait for 2 weeks again to reproduce the original results. ``` python...
https://wandb.ai/costa-huang/gym-microrts/reports/MicroRTSGridModeSharedMemVecEnv---VmlldzoxNDYwNDE0 tracks this progress