Law, Mark

11 publications

MLJ 2023 FFNSL: Feed-Forward Neural-Symbolic Learner Daniel Cunnington, Mark Law, Jorge Lobo, Alessandra Russo

ICML 2023 Hierarchies of Reward Machines Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo

AAAI 2023 Learning to Break Symmetries for Efficient Optimization in Answer Set Programming Alice Tarzariol, Martin Gebser, Konstantin Schekotihin, Mark Law

IJCAI 2023 Neuro-Symbolic Learning of Answer Set Programs from Raw Data Daniel Cunnington, Mark Law, Jorge Lobo, Alessandra Russo

IJCAI 2022 Search Space Expansion for Efficient Incremental Inductive Logic Programming from Streamed Data Mark Law, Krysia Broda, Alessandra Russo

JAIR 2021 Induction and Exploitation of Subgoal Automata for Reinforcement Learning Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo

IJCAI 2021 Scalable Non-Observational Predicate Learning in ASP Mark Law, Alessandra Russo, Krysia Broda, Elisa Bertino

AAAI 2020 FastLAS: Scalable Inductive Logic Programming Incorporating Domain-Specific Optimisation Criteria Mark Law, Alessandra Russo, Elisa Bertino, Krysia Broda, Jorge Lobo

AAAI 2020 Induction of Subgoal Automata for Reinforcement Learning Daniel Furelos-Blanco, Mark Law, Alessandra Russo, Krysia Broda, Anders Jonsson

MLJ 2020 Inductive General Game Playing Andrew Cropper, Richard Evans, Mark Law

AAAI 2019 Representing and Learning Grammars in Answer Set Programming Mark Law, Alessandra Russo, Elisa Bertino, Krysia Broda, Jorge Lobo