The Optimal Token Baseline: Variance Reduction for Long-Horizon LLM-RL
DGX agentarXiv:2602.07078v2 Announce Type: replace Abstract: Reinforcement Learning (RL) for Large Language Models (LLMs) often suffers from training collapse in long-horizon tasks due to exploding gradient va