September 2018
Intermediate to advanced
296 pages
9h 10m
English
Content preview from Python Reinforcement Learning Projects
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Asynchronous advantage actor-critic algorithm
In the previous chapters, we discussed the DQN for playing Atari games and the use of the DPG and TRPO algorithms for continuous control tasks. Recall that DQN has the following architecture:
At each timestep 
, the agent observes the frame image 
and selects an action 
based on the current learned policy. ...
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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.