All talks took place on the campus of McGill University in downtown Montreal. See the venue page for maps and details. Thursday, June 18 (in Rutherford 112) 12:30-1:30 Poster Setup Time 1:30 Rich Sutton, University of Alberta, Canada Deconstructing Reinforcement Learning (Video) 2:30 Terrence Sejnowski, The Salk Institute and the University of California, San Diego, USA Birdsong Learning (Video) 3:30 30-min Break 4:00 Gerald Tesauro, IBM Research, USA Fifty Years of RL in Games 5:00 Andrew Ng, Stanford University, USA Reinforcement Learning, Apprenticeship Learning, and Robotic Control 6:00-6:20 David Wingate, MIT Report from 2009 RL Competition (Video) 6:30 Poster Dinner (in Arts/Leacock Lobby) Friday, June 19 (in McConnell Engineering 304) 8:50 Dimitri Bertsekas, Massachusetts Institute of Technology, USA Temporal Difference Methods with Fast Convergence Rate and Low Overhead 9:50 Wolfram Schultz, University of Cambridge, UK Neural Reward Signals Complying with Theoretical Constructs of Contiguity, Contingency and Prediction Error 10:50 30-min Break 11:20 Warren B. Powell, Princeton University, USA Approximate Dynamic Programming for High-Dimensional Applications 12:20-2:00 Lunch 2:00 Peter Dayan, University College London, UK Three and a Half Theories of Neural Reinforcement Learning 3:00 15-minute Break 3:15 Ben Van Roy, Stanford University, USA Reflections on Temporal Difference Learning 4:15 Andrew Barto, University of Massachusetts, Amherst, USA Beyond Reinforcement Learning 5:15 End of MSRL |
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