Publications

On learning stochastic models: from theory to practice

R. Reynouard
Presented at PhD Thesis 2023
pdf - cite

A MM Algorithm to Estimate Parameters in Continuous-time Markov Chains

G. Bacci, A. Ingólfsdóttir, K. Larsen, R. Reynouard
Presented at QEST 2023
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Jajapy: a learning library for stochastic models

R. Reynouard, G. Bacci, A. Ingólfsdóttir
Presented at QEST 2023
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Active Learning of Markov Decision Processes using Baum-Welch algorithm

G. Bacci, A. Ingólfsdóttir, K. Larsen, R. Reynouard
Presented at ICMLA 2021
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Online Learning of non-Markovian Reward Models

G. Rens, J.-F. Raskin, R. Reynouard and G. Marra
Presented at ICAART 2021
pdf - cite