- Influence and Variance of a Markov Chain: Application to Adaptive Discretization in Optimal Control
Remi Munos and Andrew Moore
IEEE Conference on Decision and Control, December, 1999, pp. 1464 - 1469.
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pdf (207KB) | Copyrighted
- Variable resolution discretization for high-accuracy solutions of optimal control problems
Remi Munos and Andrew Moore
International Joint Conference on Artificial Intelligence, August, 1999.
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pdf (431KB) | Copyrighted
- Cached Sufficient Statistics for Automated Mining and Discovery from Massive Data Sources
Andrew Moore, Jeff Schneider, Brigham Anderson, Scott Davies, Paul Komarek, Mary Soon Lee, Marina Meila, Remi Munos, Kary Myers, and Dan Pelleg
July, 1999.
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pdf (192KB) | Copyrighted
- Gradient Descent Approaches to Neural-Net-Based Solutions of the Hamilton-Jacobi-Bellman Equation
Remi Munos, Leemon Baird, and Andrew Moore
International Joint Conference on Neural Networks, July, 1999.
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- A Study of Reinforcement Learning in the Continuous Case by the Means of Viscosity Solutions
Remi Munos
Machine Learning Journal, , 1999
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pdf (360KB) | Copyrighted
- Variable Resolution Discretization in Optimal Control
Remi Munos and Andrew Moore
Machine Learning Journal, , 1999
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pdf (535KB) | Copyrighted
- Barycentric Interpolator for Continuous Space and Time Reinforcement Learning
Remi Munos and Andrew Moore
Neural Information Processing Systems, December, 1998.
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pdf (170KB) | Copyrighted
- A general convergence method for Reinforcement Learning in the continuous case
Remi Munos
European Conference on Machine Learning, 1998.
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pdf (579KB) | Copyrighted
- A convergent Reinforcement Learning algorithm in the continuous case based on a Finite Difference method
Remi Munos
1997 International Joint Conference on Artificial Intelligence (IJCAI '97), 1997.
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pdf (658KB) | Copyrighted
- Finite-Element methods with local triangulation refinement for continuous Reinforcement Learning problems
Remi Munos
European Conference on Machine Learning 1997, 1997.
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pdf (569KB) | Copyrighted
- Reinforcement Learning for Continuous Stochastic Control Problems
Remi Munos and Paul Bourgine
Neural Information Processing Systems, 1997.
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pdf (454KB) | Copyrighted
- A Convergent Reinforcement Learning algorithm in the continuous case: the Finite-Element Reinforcement Learning
Remi Munos
International Conference on Machine Learning 1996 (ICML '96), 1996.
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pdf (202KB) | Copyrighted
- Using Finite-Differences methods for approximating the value function of continuous Reinforcement Learning problems
Remi Munos
International Symposium on Multi-Technology Information Processing 1996, 1996.
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pdf (315KB) | Copyrighted
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