atlas-orchestrating-heterogeneous-models-and-tools

Adaptive framework for dynamically selecting optimal model-tool combinations in multi-domain reasoning, using cluster-based routing and reinforcement learning for improved agent reasoning across diverse tasks.

Independent GitHub snapshot · Automated classification · Original documentation governs