Reinforcement learning for LLM post-training

Summing agent rewards before normalizing lets the noisiest channel drown out guardrails

Authors of a dev.to trainer comparison say summing task, cost and guardrail rewards can leave up to a third of GPU batches with zero gradients. They back per-channel normalization, as in GDPO, and want guardrails enforced as hard rules.