I am going to choose a topic for my thesis. But I do not have an idea whether reinforcement learning algorithms are popular and widely used or not?
That is a good research topic. You will find some research work focusing on it but there is still a room for development. I also found that Coursea is having a new specialization consisting of 4 courses on this topic, you may want to start by learning about it.
https://www.coursera.org/specializations/reinforcement-learning?utm_source=gg&utm_medium=sem&utm_content=01-CatalogDSA-ML1-US&campaignid=12490862811&adgroupid=119269357576&device=c&keyword=&matchtype=b&network=g&devicemodel=&adpostion=&creativeid=503940597773&hide_mobile_promo&gclid=Cj0KCQjw1dGJBhD4ARIsANb6Odn3umCieHYwVwfQGfYiIkNWXneugq6dOI68eqvKyTQ7X_7ZQQjL6y4aAqpGEALw_wcB
Reinforcement Learning is one of the hottest research topics currently and its popularity is only growing day by day.
Q-learning and SARSA (State-Action-Reward-State-Action) are two commonly used model-free RL algorithms.
RL requires a lot of data, therefore it is most applicable in domains where simulated data is readily available like gameplay, robotics etc.
Regards,
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