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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 environm

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-artificial-intelligence-competition https://www.gocoder.one/blog/bomberland-multi-agent-artifici... [2] About us: https://www.gocoder.one/blog/next-generation-open-ai-gym https://www.gocoder.one/blog/next-generation-open-ai-gym

mysterydip 5y ago
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 5y ago
  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 5y ago
What other environments / games do you have in the works?
- joooyzee 5y ago
  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 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-reinforcement-learning 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!

mysterydip 5y ago

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 5y ago
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 5y ago

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

joooyzee 5y ago
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 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-reinforcement-learning 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!