sapo
Why Process Optimization Fails for Tiny Models?
Only 12% of tiny reinforcement-learning agents meet deployment targets when their training pipelines lack adaptive optimization. In my work with micro-agents, I’ve seen bottlenecks in latency, interpretability, and budget enforcement that cause projects to stall. Process Optimization Foundations for Tiny Reinforcement Learning When I first built a 32-parameter robot