70 citations · 249 across the 13 of their papers we have counts for
3 papers · 1 filter
Action Schema Networks: Generalised Policies with Deep Learning
Sam Toyer, Felipe Trevizan, Sylvie Thiébaux +1
In this paper, we introduce the Action Schema Network (ASNet): a neural network architecture for learning generalised policies for probabilistic planning problems. By mimicking the…
Tableaux for Policy Synthesis for MDPs with PCTL* Constraints
Peter Baumgartner, Sylvie Thiébaux, Felipe Trevizan
Markov decision processes (MDPs) are the standard formalism for modelling sequential decision making in stochastic environments. Policy synthesis addresses the problem of how to co…
Numerical Integration and Dynamic Discretization in Heuristic Search Planning over Hybrid Domains
Miquel Ramirez, Enrico Scala, Patrik Haslum +1
In this paper we look into the problem of planning over hybrid domains, where change can be both discrete and instantaneous, or continuous over time. In addition, it is required th…