Online Learning of non-Markovian Reward Models. - Gavin Rens; Jean-François Raskin; Raphaël Reynouard; Giuseppe Marra (ICAART (2), 2021)

Active Learning of Markov Decision Processes using Baum-Welch algorithm. - Giovanni Bacci 001; Anna Ingólfsdóttir; Kim G. Larsen; Raphaël Reynouard (ICMLA, 2021)

Active Learning of Markov Decision Processes using Baum-Welch algorithm (Extended). - Giovanni Bacci 001; Anna Ingólfsdóttir; Kim G. Larsen; Raphaël Reynouard (CoRR, 2021)

An MM Algorithm to Estimate Parameters in Continuous-Time Markov Chains. - Giovanni Bacci 001; Anna Ingólfsdóttir; Kim G. Larsen; Raphaël Reynouard (QEST, 2023)

Jajapy: A Learning Library for Stochastic Models. - Raphaël Reynouard; Anna Ingólfsdóttir; Giovanni Bacci 001 (QEST, 2023)

MM Algorithms to Estimate Parameters in Continuous-time Markov Chains. - Giovanni Bacci 001; Anna Ingólfsdóttir; Kim G. Larsen; Raphaël Reynouard (CoRR, 2023)