June 2018
Intermediate to advanced
318 pages
9h 24m
English
Content preview from Hands-On Reinforcement Learning with Python
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Chapter 10
- A3C is the Asynchronous Advantage Actor Critic network which uses several agents to learn parallel.
- Three A's are Asynchronous, Advantage, Actor Critic.
- A3C requires less computation power and training time than DQN.
- All agents (workers) works in copies of the environment and then global network aggregate their experience.
- Entropy is used to ensure enough exploration.
- Refer section How A3C works.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.