Alpha Toe: Using Deep Learning to Master Tic-Tac-Toe

Why watch this?

Reinforcement learning and games have a long and mutually beneficial common history.

Are you willing to learn about reinforcement learning for games? Join the webinar to learn more!

In this webinar, Daniel Slater, Staff Engineer at Skimlink will provide a brief introduction to reinforcement learning for games.

Agenda:

• Reinforcement learning for games
• Techniques used to build Alpha Go
• How to build an AI that can master Tic-Tac-Toe
• Q&A

Why join the webinar:

• Look about reinforcement learning for games.
• Go through some of the techniques used to build Alpha Go, Google Deepminds AI that recently beat the world’s best human Go player
• Learn how to use those techniques in TensorFlow to build an AI that can master Tic-Tac-Toe

Who should attend:

This webinar will be of interest to Data Scientists, Software Engineers and Entrepreneurs in the areas of Connected Cars, Internet of Things/Industrial Internet, Medical Devices, Financial Technology (blockchain) and predictive apps/APIs of all sorts.
About the presenter:
Daniel Slater is an obsessive programmer who has worked across finance, computer games and e-commerce. Daniel was doing an MRes in machine learning with a focus on reinforcement learning. Currently Daniel is a Staff Engineer at Skimlink.

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