Computer Science, asked by matamkk, 10 months ago

is given a system of rewards and punishments.

Answers

Answered by THENEXTGENERATION
2

Answer:

Developed by B.F Skinner, operant conditioning is a way of learning by means of rewards and punishments. This type of conditioning holds that a certain behavior and a consequence, either a reward or punishment, have a connection which brings about learning.

Reinforcement Learning (RL) .

It is more general than supervised learning or unsupervised learning. It learn from interaction with environment to achieve a goal or simply learns from reward and punishments. In other words algorithms learns to react to the environment.

Answered by SerenaBochenek
0

"Reinforcement Learning" is the right answer. The further explanation is given below.

Explanation:

  • Reinforcement Learning (RL) becomes broader than controlled through unsupervised learning, it teaches through external experience to reach a goal as well as to gain from positive and negative reinforcement.  
  • Strengthening learning should, around the same moment, be connected to the problem of education as well as the short and mid-field including artificial intelligence.

So that the above is the right answer.

Learn more:

https://brainly.in/question/16692487

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