AtomicRL

A reinforcement learning post-training framework for vision-language-action (VLA) models that exploits an atomic task structure to achieve fine-grained credit assignment and adaptive exploration, mitigating delayed credit assignment bias and uneven subtask mastery in long-horizon robotic manipulation.