在机器人领域应用深度强化学习，目前主流的一些思路是什么？ - 知乎
Learning how to take actions within an environment to maximize reward, they realized, involved two related but potentially independent subproblems: action and estimation.
Brian Christian • The Alignment Problem
This leap from pre-trained instinctual responses (”System 1”) to deeper, deliberate reasoning (“System 2”) is the next frontier for AI. It’s not enough for models to simply know things—they need to pause, evaluate and reason through decisions in real time.
Sonya Huang • Generative AI’s Act O1
The DQN system used epsilon-greedy exploration, which involves learning about which actions produce reward by simply hitting buttons at random a certain fraction of the time.