HAVA: Hybrid Approach to Value-Alignment through Reward Weighing for Reinforcement Learning.
CoRR, May, 2025
Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks.
CoRR, May, 2025
Collaborating in a competitive world: Heterogeneous Multi-Agent Decision Making in Symbiotic Supply Chain Environments.
CoRR, January, 2025
More consistent learnt relationships in regression neural networks using Fit to Median error measure.
Eng. Appl. Artif. Intell., 2025
CHIRPs: Change-Induced Regret Proxy metrics for Lifelong Reinforcement Learning.
CoRR, 2024
Robust approximation of the conditional mean for applications of Machine Learning.
Appl. Soft Comput., 2024
Lifetime policy reuse and the importance of task capacity.
AI Commun., 2024
Speaking Your Language: Spatial Relationships in Interpretable Emergent Communication.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Agent based modelling for continuously varying supply chains.
CoRR, 2023
On Temporal References in Emergent Communication.
CoRR, 2023
Benchmarking the performance of genetic algorithms on constrained dynamic problems.
Nat. Comput., 2022
Power prediction for a vessel without recorded data using data fusion from a fleet of vessels.
Expert Syst. Appl., 2022
From intelligent agents to trustworthy human-centred multiagent systems.
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AI Commun., 2022
The effect of epigenetic blocking on dynamic multi-objective optimisation problems.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Epigenetic opportunities for Evolutionary Computation.
CoRR, 2021
Automation for Interpretable Machine Learning Through a Comparison of Loss Functions to Regularisers.
CoRR, 2021
Towards Error Measures which Influence a Learners Inductive Bias to the Ground Truth.
CoRR, 2021
cMLSGA: A Co-Evolutionary Multi-Level Selection Genetic Algorithm for Multi-Objective Optimization.
CoRR, 2021
Behaviour of Multi-Level Selection Genetic Algorithm (MLSGA) using different individual-level selection mechanisms.
Swarm Evol. Comput., 2019
Learning to learn with active adaptive perception.
Neural Networks, 2019
Do general Genetic Algorithms provide benefits when solving real problems?
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Multi-Level Selection Genetic Algorithm applied to CEC '09 test instances.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Monte Carlo reliability analysis of tophat stiffened composite plate structures under out of plane loading.
Reliab. Eng. Syst. Saf., 2013