Introduction to Reinforcement Learning - Shane M. Conway

Описание: See the full post here: https://www.hakkalabs.co/articles/int...

Machine learning is often divided into three categories: supervised, unsupervised, and reinforcement learning. Reinforcement learning concerns problems with sequences of decisions (where each decision affects subsequent opportunities), in which the effects can be uncertain, and with potentially long-term goals. It has achieved immense success in various different fields, especially AI/Robotics and Operations Research, by providing a framework for learning from interactions with an environment and feedback in the form of rewards and penalties.

Shane Conway, researcher at Kepos Capital, gives a general overview of reinforcement learning, covering how to solve cases where there is uncertainty both in actions and states, as well as where the state space is very large.

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