[fxtentacle]

As-is, I wouldn't consider participating, because doing so would require a lot of boring manual work from me. The reason why we have good AI models for some games is that they are easy and fast to evaluate. So you can just let your AI-in-training play 100*1000 rounds of the game to establish a base policy scoring.

For this competition, however, it appears that the gym environment is not available. So to get started, I would need to build my own Bomberman clone while trying to mimic your graphics style... I'll pass on that. The headline on the blog post says "open Bomberland arena" but I couldn't find any way to actually download it. I do like the idea of having an always-on AI competition running online, but that type of competitive AI play is usually only helpful after hundreds of GPU hours of offline training.

So that would be my one big suggestion to you, joooyzee: Put a small TensorFlow / PyTorch script on GitHub that just runs the Bomberman environment with random inputs.

Once I have such a script, I can then quite easily drop in my reinforcement learning research and get started with the actual AI.

[thegalah]

Matt from coderone here, by gym do you mean a open ai gym wrapper.

Feel free to reach out to me on our discord: https://discord.com/invite/NkfgvRN @thegalah or reach out to me directly via email [e-mail]

Definitely there are some misses with the environment would be happy to patch it up to get it into a good state. We have the game engine available as a binary (outside of the docker flow too) available here: https://github.com/CoderOneHQ/bomberland/releases

[fxtentacle]

Thanks for sharing that GitHub repo :) That's what I was looking for.

[thegalah]

Anytime, please feel free to leave issues on the repo if there are things or dm me and tell me what sucks