27 citations · 79 across the 7 of their papers we have counts for
7 papers
Learning Efficiency Meets Symmetry Breaking
Yingbin Bai, Sylvie Thiebaux, Felipe Trevizan
Learning-based planners leveraging Graph Neural Networks can learn search guidance applicable to large search spaces, yet their potential to address symmetries remains largely unex…
Learning Domain-Independent Heuristics for Grounded and Lifted Planning
Dillon Z. Chen, Sylvie Thiébaux, Felipe Trevizan
We present three novel graph representations of planning tasks suitable for learning domain-independent heuristics using Graph Neural Networks (GNNs) to guide search. In particular…
Heuristic Search for Multi-Objective Probabilistic Planning
Dillon Chen, Felipe Trevizan, Sylvie Thiébaux
Heuristic search is a powerful approach that has successfully been applied to a broad class of planning problems, including classical planning, multi-objective planning, and probab…
Learning Domain-Independent Planning Heuristics with Hypergraph Networks
William Shen, Felipe Trevizan, Sylvie Thiébaux
We present the first approach capable of learning domain-independent planning heuristics entirely from scratch. The heuristics we learn map the hypergraph representation of the del…
ASNets: Deep Learning for Generalised Planning
Sam Toyer, Felipe Trevizan, Sylvie Thiébaux +1
In this paper, we discuss the learning of generalised policies for probabilistic and classical planning problems using Action Schema Networks (ASNets). The ASNet is a neural networ…
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…