9:00- 9:30 Chris Atkeson "Why Model-Based Learning Should Be Inconsistent With the Model" 9:30-10:15 Jeff Schneider "Exploiting Model Uncertainty Estimates for Safe Dynamic Control Learning" 10:15-10:45 Discussion break 10:45-11:15 David Andre, Nir Friedman, and Ronald Parr "Generalized Prioritized Sweeping" 11:15-12:00 Scott Davies, Andrew Y. Ng, and Andrew Moore "Applying Model-Based Search to Reinforcement Learning" 12:00- 1:00 LUNCH BREAK 1:00- 1:45 Rich Sutton "Multi-Time Models: A Unified View of Modeling and Not Modeling" 1:45- 2:15 Doina Precup and Rich Sutton "Multi-Time Models for Reinforcement Learning" 2:15- 2:45 Howell, Frost, Gordon, and Wu "Real-Time Learning of Vehicle Suspension Control Laws" 2:45- 3:15 Discussion break 3:15- 3:45 Leonid Kuvayev and Rich Sutton "Approximation in Model-Based Learning" 3:45-4:15 Geoff Gordon "Wrap-up" 4:15- 5:00 Discussion