agent-reasoning-reward-model

Build multi-faceted reward models for agent trajectories that provide structured feedback on intermediate reasoning quality. Implement explicit reasoning traces, focused critiques with refinement guidance, and overall process scores to train more effective agentic agents without relying solely on sparse outcome rewards.

Independent GitHub snapshot · Automated classification · Original documentation governs