From DQN to continuous action spaces: the deterministic policy gradient, TD3's 3 fixes, SAC's maximum-entropy formulation, the squashed Gaussian policy, and where these ideas stand in modern robot learning.

给定一个整数数组 A，长度为 n

1. 数组相邻元素之间的差的绝对值为 1: abs(A[i] - A[i+1]) = 1
2. 数组仅有一个波峰或波谷

问题：请快速反回这个波峰或波谷的位置

MIT 6.S184, Flow Matching and Diffusion Models.

CS 285 Deep Reinforcement Learning, Sergey Levine, Lecture 6, Actor-Critic Algorithms notes.

CS 285 Deep Reinforcement Learning, Sergey Levine, Lecture 5, Policy Gradients notes.

CS 285 Deep Reinforcement Learning, Sergey Levine, Lecture 4 notes.

CS 285 Deep Reinforcement Learning, Sergey Levine, Lecture 7, Value Function Methods notes.