(Reinforcement learning, also known as reward learning, evaluation learning, or reinforcement learning, is one of the paradigms and methodologies of machine learning, used to describe and solve problems in the process of agents (agents) learning strategies to maximize returns. A problem with interacting with the environment or achieving a specific goal.
Course content ranges from basic reinforcement learning to advanced combat. Each stage has very detailed guidance and teaching, which can well deepen students' learning ability. The understanding of the framework, network process, and operation strategy of reinforcement learning, from the macro to the details, especially Meticulous, is very helpful for students who want to quickly apply reinforcement learning in their work.)
发表于 2023-3-8 13:09:23
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