September 2018
Intermediate to advanced
288 pages
7h 38m
English
As we have seen in the previous sections, reinforcement learning is a programming technique that aims to develop algorithms that can learn and adapt to changes in the environment. This programming technique is based on the assumption of the agent being able to receive stimuli from the outside and to change its actions according to these stimuli. So, a correct choice will result in a reward while an incorrect choice will lead to a penalization of the system.
The goal of the system is to achieve the highest possible reward and consequently the best possible result. This result can be obtained through two approaches:
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