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03/25/2023
Heuristic Search for Multi-Objective Probabilistic Planning
Heuristic search is a powerful approach that has successfully been appli...
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10/18/2021
SmartGridToolbox: A Library for Simulating Modern and Future Electricity Networks
We present SmartGridToolbox: a C++ library for simulating modern and fut...
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11/29/2019
Learning Domain-Independent Planning Heuristics with Hypergraph Networks
We present the first approach capable of learning domain-independent pla...
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08/04/2019
ASNets: Deep Learning for Generalised Planning
In this paper, we discuss the learning of generalised policies for proba...
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04/19/2019
Reward Potentials for Planning with Learned Neural Network Transition Models
Optimal planning with respect to learned neural network (NN) models in c...
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09/13/2017
Action Schema Networks: Generalised Policies with Deep Learning
In this paper, we introduce the Action Schema Network (ASNet): a neural ...
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06/30/2017
Tableaux for Policy Synthesis for MDPs with PCTL* Constraints
Markov decision processes (MDPs) are the standard formalism for modellin...
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12/12/2012
Anytime State-Based Solution Methods for Decision Processes with non-Markovian Rewards
A popular approach to solving a decision process with non-Markovian rewa...
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10/19/2012
Implementation and Comparison of Solution Methods for Decision Processes with Non-Markovian Rewards
This paper examines a number of solution methods for decision processes ...
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07/11/2012