Score Centering Stabilizes Off-policy RL
For researchers working on reinforcement learning, this paper presents a practical method to stabilize RL under training-inference mismatch, which is a common challenge when scaling models.
For researchers working on reinforcement learning, this paper presents a practical method to stabilize RL under training-inference mismatch, which is a common challenge when scaling models.
这篇论文用PEARL方法解决了RL在复杂动力学系统中样本效率低的问题,能在非稳态流中做实时控制,比现有算法更高效,值得搞控制或RL的人看看。