Human-Level Control Through Deep Reinforcement Learning
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:
- London Reinforcement Learning July (in London on 18th July 2019)
- Fast Track to DevOps Fundamentals (in London on 2nd - 3rd September 2019)
- Advanced Docker for Enterprise Operations (in London on 23rd - 24th September 2019)
- Weaveworks Special Event - Workshop: Your Path to Production Ready Kubernetes (in London on 5th September 2019)
- ProgNET London 2019 (in London on 11th - 13th September 2019)
- SEAM #28 - Avoiding a Meltdown, The DevOps Way - Dave Farley+BMC+Devoteam (in London on 17th July 2019)
- Life Lessons from Cancer and how these can apply in Business (in London on 17th July 2019)
- Keynote: AI, Natural Stupidity and Swimming Submarines (SkillsCast recorded in July 2019)
- Community Session: Women Leading in AI - Explaining the Automated Decisions is a Black Art (SkillsCast recorded in July 2019)
Thanks to our sponsors
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.
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:
- London Reinforcement Learning July (in London on 18th July 2019)
- Fast Track to DevOps Fundamentals (in London on 2nd - 3rd September 2019)
- Advanced Docker for Enterprise Operations (in London on 23rd - 24th September 2019)
- Weaveworks Special Event - Workshop: Your Path to Production Ready Kubernetes (in London on 5th September 2019)
- ProgNET London 2019 (in London on 11th - 13th September 2019)
- SEAM #28 - Avoiding a Meltdown, The DevOps Way - Dave Farley+BMC+Devoteam (in London on 17th July 2019)
- Life Lessons from Cancer and how these can apply in Business (in London on 17th July 2019)
- Keynote: AI, Natural Stupidity and Swimming Submarines (SkillsCast recorded in July 2019)
- Community Session: Women Leading in AI - Explaining the Automated Decisions is a Black Art (SkillsCast recorded in July 2019)
Thanks to our sponsors
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.