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.
Monte Carlo Tree Search in Reinforcement Learning
Ali Chaudhry
Ali is a self-taught programmer, currently doing a PhD in Artificial Intelligence and Education at University College London. His research focuses on applying human-centered learning science theories on Deep Reinforcement Learning algorithms. These days he's obsessed with GANs and Variational Autoencoders.