no code implementations • 25 Mar 2024 • Fernando Acero, Parisa Zehtabi, Nicolas Marchesotti, Michael Cashmore, Daniele Magazzeni, Manuela Veloso
Portfolio optimization involves determining the optimal allocation of portfolio assets in order to maximize a given investment objective.
no code implementations • 14 Mar 2024 • Saeid Amiri, Parisa Zehtabi, Danial Dervovic, Michael Cashmore
Industries frequently adjust their facilities network by opening new branches in promising areas and closing branches in areas where they expect low profits.
no code implementations • 17 Jul 2023 • Kyle Mana, Fernando Acero, Stephen Mak, Parisa Zehtabi, Michael Cashmore, Daniele Magazzeni, Manuela Veloso
Discrete optimization belongs to the set of $\mathcal{NP}$-hard problems, spanning fields such as mixed-integer programming and combinatorial optimization.
no code implementations • 29 Mar 2021 • Benjamin Krarup, Senka Krivic, Daniele Magazzeni, Derek Long, Michael Cashmore, David E. Smith
We formally define model-based compilations in PDDL2. 1 of each constraint derived from a user question in the taxonomy, and empirically evaluate the compilations in terms of computational complexity.
no code implementations • 17 Nov 2019 • Michael Cashmore, Alessandro Cimatti, Daniele Magazzeni, Andrea Micheli, Parisa Zehtabi
One of the major limitations for the employment of model-based planning and scheduling in practical applications is the need of costly re-planning when an incongruence between the observed reality and the formal model is encountered during execution.
no code implementations • 14 Aug 2019 • Michael Cashmore, Anna Collins, Benjamin Krarup, Senka Krivic, Daniele Magazzeni, David Smith
Explainable AI is an important area of research within which Explainable Planning is an emerging topic.
no code implementations • 15 Oct 2018 • Rita Borgo, Michael Cashmore, Daniele Magazzeni
In order to engender trust in AI, humans must understand what an AI system is trying to achieve, and why.