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» Discrete Hamilton-Jacobi theory and discrete optimal control
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ICML
1996
IEEE
13 years 8 months ago
A Convergent Reinforcement Learning Algorithm in the Continuous Case: The Finite-Element Reinforcement Learning
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
Rémi Munos
ADCM
2007
88views more  ADCM 2007»
13 years 4 months ago
Discrete variational integrators and optimal control theory
A geometric derivation of numerical integrators for optimal control problems is proposed. It is based in the classical technique of generating functions adapted to the special fea...
Manuel de León, David Martín de Dieg...
AUTOMATICA
2002
107views more  AUTOMATICA 2002»
13 years 4 months ago
On optimal control of a class of partially observed discrete event systems
We are interestedin a newclassof optimal control problemsfor DiscreteEvent Systems (DES). Weadopt theformalismof supervisorycontrol theory 10] andmodel thesystemas a nitestatemach...
Hervé Marchand, Olivier Boivineau, St&eacut...
JMLR
2010
148views more  JMLR 2010»
12 years 11 months ago
A Generalized Path Integral Control Approach to Reinforcement Learning
With the goal to generate more scalable algorithms with higher efficiency and fewer open parameters, reinforcement learning (RL) has recently moved towards combining classical tec...
Evangelos Theodorou, Jonas Buchli, Stefan Schaal
CP
1999
Springer
13 years 8 months ago
The Theory of Discrete Lagrange Multipliers for Nonlinear Discrete Optimization
In this paper we present a Lagrange-multiplier formulation of discrete constrained optimization problems, the associated discrete-space first-order necessary and sufficient condit...
Benjamin W. Wah, Zhe Wu