A simplified artificial life model for multiobjective optimisation: a preliminary report. - Adam Berry; Peter Vamplew 001 (IEEE Congress on Evolutionary Computation, 2003)

Accelerating Real-Valued Genetic Algorithms Using Mutation-with-Momentum. - Luke Temby; Peter Vamplew 001; Adam Berry (Australian Conference on Artificial Intelligence, 2005)

The Combative Accretion Model - Multiobjective Optimisation Without Explicit Pareto Ranking. - Adam Berry; Peter Vamplew 001 (EMO, 2005)

An efficient approach to unbounded bi-objective archives -: introducing the mak_tree algorithm. - Adam Berry; Peter Vamplew 001 (GECCO, 2006)

On the Limitations of Scalarisation for Multi-objective Reinforcement Learning of Pareto Fronts. - Peter Vamplew 001; John Yearwood; Richard Dazeley; Adam Berry (Australasian Conference on Artificial Intelligence, 2008)

Empirical evaluation methods for multiobjective reinforcement learning algorithms. - Peter Vamplew 001; Richard Dazeley; Adam Berry; Rustam Issabekov; Evan Dekker (Mach. Learn., 2011)

Steering approaches to Pareto-optimal multiobjective reinforcement learning. - Peter Vamplew 001; Rustam Issabekov; Richard Dazeley; Cameron Foale; Adam Berry; Tim Moore; Douglas C. Creighton (Neurocomputing, 2017)

A Survey on Ethical Principles of AI and Implementations. - Jianlong Zhou; Fang Chen 001; Adam Berry; Mike Reed; Shujia Zhang; Siobhan Savage (SSCI, 2020)

How will electric vehicles affect traffic congestion and energy consumption: an integrated modelling approach. - Artur Grigorev 001; Tuo Mao; Adam Berry; Joachim Tan; Loki Purushothaman; Adriana Simona Mihaita (ITSC, 2021)

Machine Art: Exploring Abstract Human Animation Through Machine Learning Methods. - Jamal Knight; Andrew Johnston; Adam Berry (MOCO, 2022)

Artistic control over the glitch in AI-generated motion capture. - Jamal Knight; Andrew Johnston; Adam Berry (CoRR, 2023)

A Scalable AI Framework for Proactive Health Monitoring Using Physiological Signals. - Meera Radhakrishnan; Roupen Minassian; Kun Yu; Adam Berry (PerCom Workshops, 2025)