Whitepaper Discussion: Monte Carlo Sim. Value & Policy Netwk

As an extension of our market trends and industry demonstrations, we will be hosting a monthly journal club to discuss specific topics in the Complex systems and AI ecosystem. This month's discussion will explore Monte Carlo simulation with value and policy networks, as we take a look into the underlying algorithms and data structure behind the game GO (paper link below): https://storage.googleapis.com/deepmind-media/alphago/AlphaGoNaturePaper.pdf

This will be an academic-style journal club where one person chooses a topic or paper and presents it. Participants are expected to have read the paper or other material suggested by the discussion leader. PRESENT A TOPIC AT FUTURE EVENTS:
Generally, the discussion leader doesn’t have to be an expert on the subject, but should be interested enough in it to read the paper thoroughly so as to give a decent presentation. After informally presenting the topic, the group can then ask questions or open discussion surrounding the topic. The presentation should be informal (slides are allowed, but whiteboard/chalkboard is preferred), and this should be a discussion, not a one-way transmission of information by the presenter.

The reading material doesn’t have to be a whitepaper. In the case of widely-known topics a chapter of a textbook, Wikipedia article, or other material can be suggested.