Introduction to Deep Reinforcement Learning

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The Atlanta Deep Learning Meetup, in partnership with the Georgia Tech Advanced Technology Development Center (ATDC) (http://atdc.org) and other sponsors - including NVIDIA, eHire, and Lockheed Martin - has become the THE place in Atlanta to plug into the community surrounding this leading-edge data science technology. We welcome all participants, from deep learning experts to business people who are AI novices, and it's free to attend.

At our June meetup, Chris DeBellis presents an 'Introduction to Deep Reinforcement Learning'.

Reinforcement Learning is the set of algorithms used to teach autonomous systems how to obtain a specific goal. When combined with deep learning, these algorithms can achieve better than human performance on certain tasks, such as beating the best Go players in the world.

We will discuss the basic approaches in Reinforcement Learning and how this is differs from supervised learning. We will implement a simple Q-Learning algorithm and have it learn a simple task. We will discuss the limitations of this approach and the motivation for incorporating deep neural networks into reinforcement learning. Finally we will implement a deep neural network with Q-Learning (DQN) using an example from OpenAI Gym.

Come join us on Monday, June 10th at 6:30pm EDT at ATDC, in the Community Room on the 2nd floor of the Centergy Building. There is convenient parking in the adjacent Centergy Parking Deck (Google Maps).

Spend the evening expanding your AI horizons. We guarantee you will leave inspired.