RLtools
A high-performance, portable deep reinforcement learning library for continuous control, optimized for speed across CPUs, GPUs, and microcontrollers.
What is RLtools?
RLtools is a deep reinforcement learning library focused on continuous control problems, offering implementations of algorithms like TD3, SAC, and PPO. It solves the need for a fast, portable RL library that can train agents quickly on consumer hardware and deploy them on embedded devices. The library is optimized for performance across CPUs, GPUs, and microcontrollers.
Researchers and engineers working on deep reinforcement learning for robotics, control systems, and embedded AI who require high performance and deployment flexibility.
Developers choose RLtools for its exceptional speed benchmarks, cross-platform portability from servers to microcontrollers, and the ability to rapidly prototype and deploy RL agents without heavy infrastructure.
Overview
The Fastest Deep Reinforcement Learning Library
Use Cases
Best For
- Training RL agents quickly on laptop CPUs (e.g., MacBook M-series)
- Deploying trained policies to microcontrollers like ESP32 or Crazyflie drones
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