September 2018
Intermediate to advanced
288 pages
7h 38m
English
book
Keras Reinforcement Learning Projects
by Giuseppe Ciaburro, Sudharsan Ravichandiran, Suriyadeepan Ramamoorthy
Content preview from Keras Reinforcement Learning Projects
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Agent-environment interface
Reinforcement learning can be seen as a special case of the interaction problem, in terms of achieving a goal. The entity that must reach the goal is called an agent. The entity with which the agent must interact is called the environment, which corresponds to everything that is external to the agent.
So far, we are more focused on the term agent, but what does it represent? The agent (software) is a software entity that performs services on behalf of another program, usually automatically and invisibly. These pieces of software are also called smart agents.
What follows is a list of the most important features of an agent:
- It can choose between a continuous and a discrete set for an action on the environment. ...
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