solve_the_spire VS bomberland

Compare solve_the_spire vs bomberland and see what are their differences.

solve_the_spire

An AI to play the video game Slay the Spire (by DevJac)

bomberland

Bomberland: a multi-agent AI competition based on Bomberman. This repository contains both starter / hello world kits + the engine source code (by CoderOneHQ)
Our great sponsors
  • JetBrains - Developer Ecosystem Survey 2022
  • Scout APM - Less time debugging, more time building
  • SonarLint - Deliver Cleaner and Safer Code - Right in Your IDE of Choice!
solve_the_spire bomberland
1 2
7 62
- -
1.0 6.6
about 2 months ago 10 days ago
Julia C++
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

solve_the_spire

Posts with mentions or reviews of solve_the_spire. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-24.
  • Show HN: Bomberland – An AI competition to build the best Bomberman bot
    4 projects | news.ycombinator.com | 24 Sep 2021
    https://github.com/DevJac/solve_the_spire

    I stretched the truth a bit, I'm actually doing something like "hierarchical model-free reinforcement learning", even so, figuring out how to break the game down to create a hierarchy of agents is a lot of work. Basically, the AI is composed of about 8 different traditional RL agents (neural networks), each deciding a different thing. One chooses which cards to draft, one chooses which actions to take in combat, one chooses which path to take on the map, etc.

    It shows definite signs of improvement, but has only reached a point where it can beat the act 1 boss about 50% of the time. I think that is its limit right now. I'm doing policy gradient which is very sample inefficient. I'm going to implement soft-actor-critic and see if it can do better with better sample efficiency.

    And to reiterate my original point, I think each developer only has one or two reverse engineering attempts in them. I might otherwise be interested in this AI competition, but reverse engineering the environment to create my own model is just too daunting, I'm so burned out on it already.

bomberland

Posts with mentions or reviews of bomberland. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-24.
  • Show HN: Bomberland – An AI competition to build the best Bomberman bot
    4 projects | news.ycombinator.com | 24 Sep 2021
    Thanks for the feedback! We're working on improving the onboarding flow. Sorry about the Docker link issue - it should link you to a copy of the environment binary so that you can play around without Docker (no docs for this workflow just yet unfortunately).

    It's essentially a Bomberman-inspired game, where you program the agents to play in it and can play against other users' agents. You can try it out without an account by cloning one of the starter kits here: https://github.com/CoderOneHQ/bomberland and following the usage instructions (but you'll need to create an account to use the visualizer and to submit agents).

    We recommend the Docker flow, but if you get stuck feel free to reach out to me (Joy) or @thegalah (Matt) on our Discord: https://discord.gg/NkfgvRN

  • Bomberland: a new artificial intelligence competition
    1 project | dev.to | 19 Sep 2021
    We have starter kits in Python and TypeScript to help you get started (and encourage any community contributions to the starter kit repo).

What are some alternatives?

When comparing solve_the_spire and bomberland you can also consider the following projects:

q-learning-algorithms - This repository will aim to provide implementations of q-learning algorithms (DQN, Double-DQN, ...) using Pytorch.

control-flag - A system to flag anomalous source code expressions by learning typical expressions from training data

ultimate-volleyball - 3D RL Volleyball environment built on Unity ML-Agents