Workshop: Engineering and Reverse Engineering Reinforcement Learning

Speaker See below for list of speakers
Date and Time July 18, 2014, 10 a.m. - 01:30 p.m.
Location Singleton Auditorium, MIT 46-3002
HostJoshua Tenenbaum

Workshop is co-organized by the MIT Intelligence Initiative (MIT I^2) and the Center for Brains, Minds and Machines (CBMM.)

Registration required.

Summary: Psychologists and neuroscientists routinely borrow ideas from machine learning to understand and model reinforcement learning in humans and animals. Likewise, ideas from psychology and neuroscience filter into machine learning in a variety of ways. The goal of the workshop is to highlight some of the theoretical synergies that have arisen from this cross-pollination. The symposium will cover three topics (see below), each addressed by one cognitive scientist/neuroscientist and one computer scientist.

Session 1: Intrinsic motivation and exploration
10:00-10:25: Andrew Barto (UMass Amherst)
10:25-10:50: Laura Schulz (MIT)
10:50-11:00: discussion

Session 2: Inverse reinforcement learning and theory of mind
11:00-11:25: Monica Babes-Vroman (Rutgers)
11:25-11:50: Chris Baker (MIT)
11:50-12:00: discussion
12:00-12:30: lunch

Session 3: Learning to learn
12:30-12:55: Michael Littman (Brown)
12:55-1:20: Michael Frank (Brown)
1:20-1:30: discussion

Click HERE to Register for Workshop>


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