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Leemon Baird
PhD Student, CS

No longer a member of RI.

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computational neuroscience and machine learning

• Auton Lab - We build practical large-scale deployments of very highly autonomous self-improving systems.

• Auton Project - Research into Autonomous Learning Software Systems

Note: This list may not be comprehensive. It contains only those publications in the RI publications database. Entries are listed in reverse chronological order.

• Gradient Descent Approaches to Neural-Net-Based Solutions of the Hamilton-Jacobi-Bellman Equation
  R. Munos, L. Baird, and A. Moore
  International Joint Conference on Neural Networks, July, 1999. [Abstract]
  Download: pdf [192 KB], ps.gz [128 KB] copyrighted

• Reinforcement Learning Through Gradient Descent
  L. Baird
  doctoral dissertation, tech. report CMU-CS-99-132, Computer Science Department, Carnegie Mellon University, May, 1999.
  Download: pdf [244 KB], ps.gz [301 KB] copyrighted

• Gradient Descent for General Reinforcement Learning
  L. Baird and A. Moore
  Advances in Neural Information Processing Systems 11, 1999. [Abstract]
  Download: pdf [48 KB], ps.gz [58 KB] copyrighted

• Multi-Value-Functions: Efficient Automatic Action Hierarchies for Multiple Goal MDPs
  A. Moore, L. Baird, and L.P. Kaelbling
  Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI '99), 1999.
  Download: pdf [414 KB], ps.gz [215 KB] copyrighted