Efficient resources allocation for markov decision processes

Advances in Neural Information Processing Systems

Volumn , Issue , 2002, Pages

  Munos, Rémi ^a  

^a CENTRE DE MATHÉMATIQUES APPLIQUÉES   (France)

Author keywords

[No Author keywords available]

Indexed keywords

DISTRIBUTION FUNCTIONS; LEARNING ALGORITHMS; MARKOV PROCESSES; PROBABILITY DISTRIBUTIONS; REINFORCEMENT LEARNING;

COMPUTATIONAL TIME; DECISION-MAKING PROBLEM; HIGH DIMENSIONALITY; MARKOV DECISION PROCESSES; RESOURCES ALLOCATION; SAMPLING TECHNIQUE; STRUCTURAL REPRESENTATION; TRANSITION PROBABILITIES;

RESOURCE ALLOCATION;

EID: 84898931726     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

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2. Remi Munos. Decision-making under uncertainty: Efficiently estimating where extra ressources are needed. Technical report, Ecole Polytechnique, 2002.
3. Remi Munos and Andrew Moore. Influence and variance of a Markov chain: Application to adaptive discretizations in optimal control. Proceedings of the 38th IEEE Conference on Decision and Control, 1999.
4. Remi Munos and Andrew W. Moore. Rates of convergence for variable resolution schemes in optimal control. International Conference on Machine Learning, 2000.
5. Martin L. Puterman. Markov Decision Processes, Discrete Stochastic Dynamic Programming. A Wiley-Interscience Publication, 1994.
6. John Rust. Using Randomization to Break the Curse of Dimensionality. Computational Economics. 1997.