Show HN: Gymnasium RL Environments in Julia

Category: library

Tags: reinforcement-learning, julia, gymnasium

Score: 5.0/10 (Innovation: 3, Technical: 6, Documentation: 7, Utility: 4)

Gym.jl reimplements a subset of Gymnasium reinforcement learning environments in Julia, offering classic control and toy text tasks with vectorized and parallelized execution. It stands out by providing a native Julia interface with competitive benchmark performance, though its scope is limited and it is currently in early development.

Target audience: data scientists, researchers, rl engineers

Repository: https://github.com/scascino4/Gym.jl/ · Julia · MIT

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