lab-v2/pyreason-gym
An OpenAI wrapper for PyReason to use in a Grid World reinforcement learning setting
This project helps researchers and developers design and test AI agents in a simulated grid-based combat scenario. It takes in actions for two teams of agents (Red and Blue) and provides observations on agent positions, health, and bullet information. This is for AI researchers and machine learning engineers who need to train and evaluate reinforcement learning agents for strategic decision-making in a competitive environment.
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Use this if you are developing or evaluating AI agents that need to learn tactical behaviors like movement and shooting in a dynamic, observable grid world.
Not ideal if you need a pre-trained agent or a ready-to-deploy solution, as this project provides the simulation environment for training, not the AI itself.
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32
Forks
3
Language
Python
License
BSD-3-Clause
Category
Last pushed
Dec 28, 2023
Commits (30d)
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