About the workshop:

• Workshop call for participation
• Preliminary schedule
• ICML'97 homepage

Online proceedings (all links should work now):

• Preliminary schedule
• Jeff Schneider, Exploiting Model Uncertainty Estimates for Safe Dynamic Control Learning
• David Andre, Nir Friedman, and Ronald Parr, Generalized Prioritized Sweeping. See also the related NIPS paper.
• Scott Davies, Andrew Y. Ng, and Andrew Moore, Applying Model-Based Search to Reinforcement Learning. See also the related papers:
  S. Davies, A. Y. Ng, and A. W. Moore, Applying Online Search Techniques to Reinforcement Learning, Submitted to NIPS-97.
  S. Davies, Multidimensional Interpolation and Triangulation for Reinforcement Learning, NIPS-96.
• Rich Sutton, Multi-Time Models: A Unified View of Modeling and Not Modeling. See related paper.
• Doina Precup and Rich Sutton, Multi-time Models for Reinforcement Learning
• Howell, Frost, Gordon, and Wu, Real-Time Learning of Vehicle Suspension Control Laws. See also the Java demo of the CARLA algorithm.
• Leonid Kuvayev and Rich Sutton, Approximation in Model-Based Learning

Last modified by Geoff Gordon, 22 July 1997