5 Papers You Can't-Miss: Reinforcement Learning

Author(s): Ulrik Thyge Pedersen

Originally published on Towards AI.

Image by Author with @MidJourney

Reinforcement Learning (RL) is an important subfield in the area of machine learning that deals with agent programs learning actions in an environment to minimize a loss function in order to improve. It has been applied in areas such as robotics, games, finance and healthcare and has seen signification advancements in the last few years. New algorithms and architectures has been developed to tackle the complex challenges.

In this article we will take a deep dive into the most impactful research papers in the area of reinforcement learning. From a discussion on control to learning to play… Read the full blog for free on Medium.

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Published via Towards AI