Why Multi-Step AI Agents Need Smarter Reinforcement Learning Feedback
Agentic AI systems often fail due to misaligned feedback signals in reinforcement learning. A new technique called SDAR introduces a gated self-distillation method that provides precise, step-level guidance without destabilizing training.