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Remi Munos
Postdoctoral Fellow

No longer a member of RI.

Jump to: Labs & Groups | Projects | Publications

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

• Auton Project - Research into Autonomous Learning Software Systems

• Influence and Variance of a Markov Chain: Application to Adaptive Discretization in Optimal Control
  R. Munos and A. Moore
  IEEE Conference on Decision and Control, Vol. 2, December, 1999, pp. 1464 - 1469. [Abstract]
  Download: pdf [207 KB], ps.gz [180 KB] copyrighted

• Variable resolution discretization for high-accuracy solutions of optimal control problems
  R. Munos and A. Moore
  International Joint Conference on Artificial Intelligence, August, 1999. [Abstract]
  Download: pdf [430 KB], ps.gz [315 KB] copyrighted

• Cached Sufficient Statistics for Automated Mining and Discovery from Massive Data Sources
  A. Moore, J. Schneider, B. Anderson, S. Davies, P. Komarek, M.S. Lee, M. Meila, R. Munos, K. Myers, and D. Pelleg
  July, 1999.
  Download: pdf [191 KB], ps.gz [113 KB] copyrighted

• 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

• A Study of Reinforcement Learning in the Continuous Case by the Means of Viscosity Solutions
  R. Munos
  Machine Learning Journal, 1999. [Abstract]
  Download: pdf [359 KB], ps.gz [171 KB] copyrighted

• Variable Resolution Discretization in Optimal Control
  R. Munos and A. Moore
  Machine Learning Journal, 1999.
  Download: pdf [534 KB], ps.gz [343 KB] copyrighted

• Barycentric Interpolator for Continuous Space and Time Reinforcement Learning
  R. Munos and A. Moore
  Neural Information Processing Systems, MIT Press, Vol. 11, December, 1998. [Abstract]
  Download: pdf [170 KB], ps.gz [48 KB] copyrighted

• A general convergence method for Reinforcement Learning in the continuous case
  R. Munos
  European Conference on Machine Learning, 1998. [Abstract]
  Download: pdf [579 KB], ps.gz [237 KB] copyrighted

• A convergent Reinforcement Learning algorithm in the continuous case based on a Finite Difference method
  R. Munos
  1997 International Joint Conference on Artificial Intelligence (IJCAI '97), 1997. [Abstract]
  Download: pdf [658 KB], ps.gz [232 KB] copyrighted

• Finite-Element methods with local triangulation refinement for continuous Reinforcement Learning problems
  R. Munos
  European Conference on Machine Learning 1997, 1997. [Abstract]
  Download: pdf [569 KB], ps.gz [293 KB] copyrighted