Advantages & Disadvantages of Reinforcement Learning :

-Reinforcement learning helps in solving complex problems which are difficult to be solved by average techniques.

-Reinforcement learning model is similar to learning of human beings, hence the most accurate result can be found.

-Reinforcement learning allows models to adapt and learn from experience.

-Reinforcement learning models can make decisions autonomously, with less of human intervention.

-Reinforcement learning models often require a lot of interactions with the environment to learn effectively.

-Reinforcement learning algorithms are not preferred for simple problems.

-Reinforcement learning algorithms require huge data and computations.

-Training reinforcement learning models can be unstable, and small change may lead to significantly different results.

Advantages & Disadvantages Of Reinforcement learning