July 2018
Intermediate to advanced
254 pages
8h 12m
English
Content preview from Hands-On Intelligent Agents with OpenAI Gym
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Learning environments
A learning environment is an integral component of a system where an intelligent agent can be trained to develop intelligent systems. The learning environment defines the problem or the task for the agent to complete.
A problem or task in which the outcome depends on a sequence of decisions made or actions taken is a sequential decision-making problem. Here are some of the varieties of learning environments:
- Fully observable versus partially observable
- Deterministic versus stochastic
- Episodic versus sequential
- Static versus dynamic
- Discrete versus continuous
- Discrete state space versus continuous state space
- Discrete action space versus continuous action space
In this book, we will be using learning environments implemented ...
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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.