3 citations · 3 across the 1 of their papers we have counts for
2 papers
cs.LG2021★ 3 cited
Globally Optimal Hierarchical Reinforcement Learning for Linearly-Solvable Markov Decision Processes
Guillermo Infante, Anders Jonsson, Vicenç Gómez
In this work we present a novel approach to hierarchical reinforcement learning for linearly-solvable Markov decision processes. Our approach assumes that the state space is partit…
stat.CO2015
Monte Carlo Methods for the Ferromagnetic Potts Model Using Factor Graph Duality
Mehdi Molkaraie, Vicenc Gomez
Normal factor graph duality offers new possibilities for Monte Carlo algorithms in graphical models. Specifically, we consider the problem of estimating the partition function of t…