[joooyzee]

Hey HN,

I'm Joy from Coder One. This is an early version of our upcoming Bomberman-inspired AI competition. Bomberland is an intentionally challenging environment for ML featuring non-trivial problems like real-time decision-making, large search space, and both adversarial + cooperative play.[1]

Longer term, we're building a place where anyone can explore cutting-edge algorithms like deep RL, GAN, MCTS etc on meaningful real-world challenges. Think OpenAI Gym, but with active competitions and open-ended multiplayer simulations.[2]

We'd love to hear what you think!

[1] Bomberland write-up: https://www.gocoder.one/blog/bomberland-multi-agent-artifici...

[2] About us: https://www.gocoder.one/blog/next-generation-open-ai-gym

[mysterydip]

If powerups are randomly placed, it's possible for a "better" player to lose to a "worse" player simply by luck of the draw. How is that accounted for in determining the best AI?

[joooyzee]

Yes this could happen. Ideally, we would run enough matches so that over time this would average out and the better AI should come out on top.

[agravier]

What other environments / games do you have in the works?

[joooyzee]

No others (at the moment). We're a small team so Bomberland is our current focus - we want to improve the tooling first so that it's easy for people to dive into ML before we introduce other environments.

We do have a mini-project called Ultimate Volleyball (https://github.com/CoderOneHQ/ultimate-volleyball) built on Unity ML-Agents. It's intended more as an introduction to deep reinforcement learning, and we wrote some tutorials for it here if anyone's interested: https://www.gocoder.one/blog/hands-on-introduction-to-deep-r...

But if there are any games/environments you're interested in, please let us know!