lubluniky/rocket-rs
High-performance reinforcement learning library for Rust with PPO and A2C algorithms
This is a high-performance reinforcement learning library designed for developers who need to train AI agents to make decisions in complex environments. It takes in environment observations and outputs optimized policies or behaviors for your agents. Developers can integrate this into applications where intelligent agents need to learn from experience, such as game AI, robotics, or automated trading.
Use this if you are a developer building sophisticated AI agents and need extreme speed and efficiency in training, especially for large-scale simulations or real-time applications.
Not ideal if you are a beginner looking for a simple, high-level tool without diving into Rust programming.
Stars
7
Forks
—
Language
Rust
License
GPL-2.0
Category
Last pushed
Feb 14, 2026
Commits (30d)
0
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