TinyGym-C Documentation

A minimal, fast C library for reinforcement learning environments

🚀 Fast

🎯 Simple

🔧 Extensible

🐍 Python-friendly

Quick Start

Get up and running with TinyGym-C in minutes

Installation

# Clone and build
git clone <repo-url>
cd tinygymc
cmake -S . -B build
cmake --build build -j

Running Examples

# Run Q-learning example
./build/examples/qlearn_gridworld --episodes 500

# Launch viewer
./build/viewer/tgc_viewer --env Gridworld-v0

# Interactive CLI mode
./build/examples/tgc_cli --env Gridworld-v0

Features

✓
Fast: Pure C implementation with minimal overhead
✓
Simple: Clean API for environment interaction
✓
Extensible: Easy to add new environments
✓
Python-friendly: CFFI bindings included
✓
Visual: Built-in Raylib viewer for debugging