These frameworks provide the environments and algorithmic building blocks necessary to train systems through trial and error. By simulating complex feedback loops, they enable the creation of agents that master navigation, strategy, and decision-making by optimizing for long-term rewards. When selecting a solution, prioritize those with high-performance simulation backends and flexible interfaces that allow you to define custom objective functions for your specific learning environment.

Train your MicroDuck and win the Golden Beak Belt