Overview of Deep Reinforcement Learning Methods
This video gives an overview of methods for deep reinforcement learning, including deep Q-learning, actor-critic methods, deep policy networks, and policy gradient optimization algorithms.
This is a lecture in a series on reinforcement learning, following the new Chapter 11 from the 2nd edition of our book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Brunton and Kutz
Book Website: http://databookuw.com
Book PDF: http://databookuw.com/databook.pdf
Amazon: https://www.amazon.com/Data-Driven-Science-Engineering-Learning-Dynamical/dp/1108422098/
Brunton Website: eigensteve.com
This video gives an overview of methods for deep reinforcement learning, including deep Q-learning, actor-critic methods, deep policy networks, and policy gradient optimization algorithms.
This is a lecture in a series on reinforcement learning, following the new Chapter 11 from the 2nd edition of our book “Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control” by Brunton and Kutz
Book Website: http://databookuw.com
Book PDF: http://databookuw.com/databook.pdf
Amazon: https://www.amazon.com/Data-Driven-Science-Engineering-Learning-Dynamical/dp/1108422098/
Brunton Website: eigensteve.com
