ultimate-volleyball VS solve_the_spire

Compare ultimate-volleyball vs solve_the_spire and see what are their differences.

solve_the_spire

An AI to play the video game Slay the Spire (by DevJac)
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ultimate-volleyball solve_the_spire
13 1
84 7
- -
0.0 0.0
about 2 years ago about 1 year ago
C# Julia
Apache License 2.0 -
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ultimate-volleyball

Posts with mentions or reviews of ultimate-volleyball. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-24.

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.

What are some alternatives?

When comparing ultimate-volleyball and solve_the_spire you can also consider the following projects:

ml-agents - The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

bomberland - Bomberland: a multi-agent AI competition based on Bomberman. This repository contains both starter / hello world kits + the engine source code

TotalWarSimulator - Total War Battle simulator for AI research

ultimate-volleyball-starter - Tutorial kit for building a 3D deep reinforcement learning environment with Unity ML-Agents.

minimalRL - Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

RoboLeague - A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.

SimpleGOAP - SimpleGOAP is a lightweight C# implementation of goal oriented action planning.

bomberman - A bomberman game!

slimevolleygym - A simple OpenAI Gym environment for single and multi-agent reinforcement learning

unity-ml-agents-turret-defense - A reinforcement learning agent playing as the turret, where its goal is to allow ten friendly units to enter the base, and loses if an enemy unit has entered the base or if two friendly units were shot.