· 72:49 · ZH + EN
The Product Boundary of Reinforcement Learning: Acting and Asking After Answering
Guests / narrator：吴翼
Listen: 01:55–06:14. Classifying a cat or dog involves a labeled answer and one decision. Playing a game requires many choices—left, right, or jump—and several paths may win. Reinforcement learning, or RL, improves an action policy using rewards received after acting. It addresses processes with multiple possible choices whose quality becomes clear only later.