Adam J. Sobey

According to our database, Adam J. Sobey authored at least 18 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CHIRPs: Change-Induced Regret Proxy metrics for Lifelong Reinforcement Learning.

John Birkbeck, Adam J. Sobey, Federico Cerutti, Katherine Heseltine Hurley Flynn, Timothy J. Norman

CoRR, 2024

Speaking Your Language: Spatial Relationships in Interpretable Emergent Communication.

Olaf Lipinski, Adam J. Sobey, Federico Cerutti, Timothy J. Norman

CoRR, 2024

Lifetime policy reuse and the importance of task capacity.

David M. Bossens, Adam J. Sobey

AI Commun., 2024

2023

Agent based modelling for continuously varying supply chains.

Wan Wang, Haiyan Wang, Adam J. Sobey

CoRR, 2023

On Temporal References in Emergent Communication.

Olaf Lipinski, Adam J. Sobey, Federico Cerutti, Timothy J. Norman

CoRR, 2023

2022

Benchmarking the performance of genetic algorithms on constrained dynamic problems.

Przemyslaw A. Grudniewski, Adam J. Sobey

Nat. Comput., 2022

Power prediction for a vessel without recorded data using data fusion from a fleet of vessels.

A. I. Parkes, T. D. Savasta, Adam J. Sobey, D. A. Hudson

Expert Syst. Appl., 2022

From intelligent agents to trustworthy human-centred multiagent systems.

Mohammad Divband Soorati, Enrico H. Gerding, Enrico Marchioni, Pavel Naumov, Timothy J. Norman, Sarvapali D. Ramchurn, Bahar Rastegari, Adam J. Sobey, Sebastian Stein, Danesh Tarpore, Vahid Yazdanpanah, Jie Zhang

AI Commun., 2022

The effect of epigenetic blocking on dynamic multi-objective optimisation problems.

Sizhe Yuen, Thomas H. G. Ezard, Adam J. Sobey

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021

Epigenetic opportunities for Evolutionary Computation.

Sizhe Yuen, Thomas H. G. Ezard, Adam J. Sobey

CoRR, 2021

Automation for Interpretable Machine Learning Through a Comparison of Loss Functions to Regularisers.

A. I. Parkes, J. Camilleri, D. A. Hudson, Adam J. Sobey

CoRR, 2021

Towards Error Measures which Influence a Learners Inductive Bias to the Ground Truth.

A. I. Parkes, Adam J. Sobey, D. A. Hudson

CoRR, 2021

cMLSGA: A Co-Evolutionary Multi-Level Selection Genetic Algorithm for Multi-Objective Optimization.

Przemyslaw A. Grudniewski, Adam J. Sobey

CoRR, 2021

2019

Behaviour of Multi-Level Selection Genetic Algorithm (MLSGA) using different individual-level selection mechanisms.

Przemyslaw A. Grudniewski, Adam J. Sobey

Swarm Evol. Comput., 2019

Learning to learn with active adaptive perception.

David M. Bossens, Nicholas C. Townsend, Adam J. Sobey

Neural Networks, 2019

Do general Genetic Algorithms provide benefits when solving real problems?

Przemyslaw A. Grudniewski, Adam J. Sobey

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2017

Multi-Level Selection Genetic Algorithm applied to CEC '09 test instances.

Przemyslaw A. Grudniewski, Adam J. Sobey

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2013

Monte Carlo reliability analysis of tophat stiffened composite plate structures under out of plane loading.

Adam J. Sobey, James I. R. Blake, R. Ajit Shenoi

Reliab. Eng. Syst. Saf., 2013