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ICML
2005
IEEE
15 years 27 days ago
A theoretical analysis of Model-Based Interval Estimation
Several algorithms for learning near-optimal policies in Markov Decision Processes have been analyzed and proven efficient. Empirical results have suggested that Model-based Inter...
Alexander L. Strehl, Michael L. Littman
ICML
2008
IEEE
15 years 27 days ago
On the hardness of finding symmetries in Markov decision processes
Shravan Matthur Narayanamurthy, Balaraman Ravindra...
ICML
2007
IEEE
15 years 27 days ago
Percentile optimization in uncertain Markov decision processes with application to efficient exploration
Markov decision processes are an effective tool in modeling decision-making in uncertain dynamic environments. Since the parameters of these models are typically estimated from da...
Erick Delage, Shie Mannor

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supriyachitaleStudent, PhD
IIT Bombay
supriyachitale