rl-tools/rl-tools

Health v2 · maintenance only

Adoption not part of the score

1028 stars · 60 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

RLtools is a pure C++ header-only, dependency-free deep reinforcement learning library supporting algorithms like SAC, TD3, and PPO. It compiles to WASM to run in browsers and targets a broad range of devices including embedded hardware.

Use cases

• train deep RL agents for continuous control fast
• run reinforcement learning in the browser via wasm
• train RL policies on embedded or tiny devices
• simulate and train on MuJoCo environments
• learn drone or robot control policies in seconds on a laptop

When to choose

• you need maximum training throughput for continuous-control RL
• you want a dependency-free C++ RL library deployable to embedded or browser targets

When to avoid

• you need a high-level Python-first RL framework with a large algorithm ecosystem
• you work mainly with discrete/game environments rather than continuous control

Facets

library · maturity active

machine-learning deep-learning reinforcement-learning simulation reinforcement-learning machine-learning robotics deep-learning cpp wasm browser cross-platform header-only continuous-control mujoco tinyml sac td3 ppo robotics embedded gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="rl-tools/rl-tools")