multi-agent-tool-policy-opt

Train planner and worker agent roles within a single LLM via role-specific prompts and RL, avoiding multi-instance overhead while preserving specialization. Trigger: improve tool-use planning robustness to noisy outputs without deploying separate models.

Independent GitHub snapshot · Automated classification · Original documentation governs