12 Advanced actor-critic methods
In this chapter
- You will learn about more advanced deep reinforcement learning methods, which are, to this day, the state-of-the-art algorithmic advancements in deep reinforcement learning.
- You will learn about solving a variety of deep reinforcement learning problems, from problems with continuous action spaces, to problem with high-dimensional action spaces.
- You will build state-of-the-art actor-critic methods from scratch and open the door to understanding more advanced concepts related to artificial general intelligence.
Criticism may not be agreeable, but it is necessary. It fulfills the same function as pain in the human body. It calls attention to an unhealthy state of things.
— Winston Churchill British ...
Get Grokking Deep Reinforcement Learning now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
