Lecture

Reinforcement Learning: Basics

In course

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Description

This lecture introduces the basics of reinforcement learning, focusing on the agent's learning process in different environments. It covers topics such as Q-learning, neural networks, deep Q learning, and various algorithms used to optimize learning in complex environments.

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Official source

https://mediaspace.epfl.ch/media/0_vd4iq3yg

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Ontological neighbourhood

Information engineering

Machine learning: Reinforcement learning

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