t, p: Advancements in Reinforcement Learning

brief: The talk is about recent advances in reinforcement learning with a small historical perspective and surveying new recent advances in Deep RL. Zita will talk a bit about open-source testing environments (OpenAI) and how we can play around with these tools.

bio: Zita is a fifth year PhD student in Robotics, in the CMU/Portugal program. She holds a MSc. in Robotics from CMU (2015), and a M.Eng. in Physics Engineering from Instituto Superior Tecnico (2010). Her research interests focuses on machine learning methods for sequence prediction and planning. Her PhD thesis focuses on method of moments for learning in Natural Language and Robotics. She is jointly advised by André Martins at Unbabel/IST, Geoffrey Gordon at the Machine Learning Department/CMU and Siddhartha Srinivasa at University of Washington.

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Title legend: the "t,p" gives you an idea of the event. Here is what it means:

t: theory

p: practice, applied talk

x: experience

h: hackathon

m: informal meet&greet

r: repeat