98 citations · 98 across the 1 of their papers we have counts for
3 papers
cs.AI2019
Solving Multiagent Planning Problems with Concurrent Conditional Effects
Daniel Furelos-Blanco, Anders Jonsson
In this work we present a novel approach to solving concurrent multiagent planning problems in which several agents act in parallel. Our approach relies on a compilation from concu…
cs.LG2017★ 98 cited
A unified view of entropy-regularized Markov decision processes
Gergely Neu, Anders Jonsson, Vicenç Gómez
We propose a general framework for entropy-regularized average-reward reinforcement learning in Markov decision processes (MDPs). Our approach is based on extending the linear-prog…
cs.AI2016
Hierarchical Linearly-Solvable Markov Decision Problems
Anders Jonsson, Vicenç Gómez
We present a hierarchical reinforcement learning framework that formulates each task in the hierarchy as a special type of Markov decision process for which the Bellman equation is…