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SkillsCast

Human-Level Control Through Deep Reinforcement Learning

11th April 2019 in London at CodeNode

There are 1 other SkillsCast available from London Reinforcement Learning April

In this talk Skif will discuss his implementation of Deepmind's paper on Reinforcement Learning for Atari Games published by Nature. It is considered a landmark paper in Reinforcement Learning literature in which an RL agent received human level performance a number of Atari games.

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Human-Level Control Through Deep Reinforcement Learning

Skif Pankov

I work as a financial quantitative analyst; I have a background in statistics and economics. I am self-studying theoretical and practical aspects of reinforcement learning with the view of studying the subject at university at a post-graduate level. My day job involves a lot of programming (Python), as well as pushing for adoption of deep learning as a tool for financial analysis.

SkillsCast

In this talk Skif will discuss his implementation of Deepmind's paper on Reinforcement Learning for Atari Games published by Nature. It is considered a landmark paper in Reinforcement Learning literature in which an RL agent received human level performance a number of Atari games.

YOU MAY ALSO LIKE:

Thanks to our sponsors

About the Speaker

Human-Level Control Through Deep Reinforcement Learning

Skif Pankov

I work as a financial quantitative analyst; I have a background in statistics and economics. I am self-studying theoretical and practical aspects of reinforcement learning with the view of studying the subject at university at a post-graduate level. My day job involves a lot of programming (Python), as well as pushing for adoption of deep learning as a tool for financial analysis.