Practical Reinforcement Learning

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Course overview

Provider
Coursera
Course type
Free online course
Level
Advanced
Deadline
Flexible
Duration
26 hours
Certificate
Paid Certificate Available
Course author
Pavel Shvechikov

Description

Welcome to the Reinforcement Learning online course. Here you will find out about: - foundations of RL methods: value/policy iteration, q-learning, policy gradient, etc. --- with math & batteries included - using deep neural networks for RL tasks --- also known as "the hype train" - state of the art RL algorithms --- and how to apply duct tape to them for practical problems. - and, of course, teaching your neural network to play games --- because that's what everyone thinks RL is about. We'll also use it for seq2seq and contextual bandits. Jump in. It's gonna be fun! Do you have technical problems? Write to us: [email protected].

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