Difference between active and passive reinforcement learning in artificial intelligence
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that active is an active and which gives the which gives directly and passive is which is indirectly
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The difference between active and passive RL in Artificial Intelligence is the action that is supposed to be carried out by the AI.
Explanation:
Active reinforcement learning in artificial intelligence:
- In both processes of reinforcement learning, be it active or passive, are considered to be types of RL.
- In the case of active reinforcement learning, it is the agent's decision to perform a certain task as there is no fixed policy that can perform.
Passive reinforcement learning in artificial intelligence:
- And in the case of a passive reinforcement learning the agent is supposed to execute a certain fixed demand, action or policy.
- Therefore we can understand that the goal of reinforcements that is passive is to execute a fixed action and to evaluated vial the goal of active reinforcement requires the agent to act as well as learn some kind of an optimal policy.
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