July 2018
Intermediate to advanced
254 pages
8h 12m
English
Content preview from Hands-On Intelligent Agents with OpenAI Gym
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Gathering n-step experiences using the current policy
The next step is to perform what are called rollouts using the current policy of the agent to collect n number of transitions. This process is basically letting the agent interact with the environment and generating new experiences in terms of state transitions, usually represented as a tuple containing the state, action, reward obtained, and next state, or in short (
, 
, 
, ), as illustrated ...
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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.