Workshop: Engineering and Reverse Engineering Reinforcement Learning
See below for list of speakers
Date: Friday, July 18, 2014
Time: 10:00 AM to 1:30 PM Note: all times are in the Eastern Time Zone
Location: Singleton Auditorium, MIT 46-3002
Host: Josh Tenenbaum
Contact: Kathleen Sullivan, email@example.com
Speaker URL: None
TALK: Workshop: Engineering and Reverse Engineering Reinforcement Learning
Update: Do to the unexpected high demand, there will be overflow seating available on a first come first serve basis. The talks will be projected onto TVs located in the MIT Bldg. 46 atrium just outside of the Singleton Auditorium. Unfortunately, we will not be able to provide lunch for the overflow audience.
We will not be video taping or webcasting this event.
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.
Schedule (Updated 7/16/2014):
10am-10:05am: Introduction and welcome
Session 1: Learning to learn
10:05-10:30: Michael Littman (Brown)
10:30-10:55: Michael Frank (Brown)
Session 2: Inverse reinforcement learning and theory of mind
11:10-11:35: Monica Babes-Vroman (Rutgers)
11:35-12:00: Chris Baker (MIT)
Session 3: Intrinsic motivation and exploration
1:00-1:25: Laura Schulz (MIT)
1:25-1:50: Andrew Barto (UMass Amherst)
Workshop is co-organized by the MIT Intelligence Initiative (MIT I^2) and the Center for Brains, Minds and Machines (CBMM.)
Created by Kathleen Sullivan at Thursday, July 03, 2014 at 3:56 PM.