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2020 – today
- 2023
[i2]Jamal Knight, Andrew Johnston, Adam Berry:
Artistic control over the glitch in AI-generated motion capture. CoRR abs/2308.08576 (2023)- 2022
- [c8]Jamal Knight, Andrew Johnston, Adam Berry
:
Machine Art: Exploring Abstract Human Animation Through Machine Learning Methods. MOCO 2022: 17:1-17:7 - 2021
- [c7]Artur Grigorev, Tuo Mao, Adam Berry, Joachim Tan, Loki Purushothaman, Adriana Simona Mihaita:
How will electric vehicles affect traffic congestion and energy consumption: an integrated modelling approach. ITSC 2021: 1635-1642 - [i1]Artur Grigorev, Tuo Mao, Adam Berry, Joachim Tan, Loki Purushothaman, Adriana Simona Mihaita:
How will electric vehicles affect traffic congestion and energy consumption: an integrated modelling approach. CoRR abs/2110.14064 (2021) - 2020
- [c6]Jianlong Zhou, Fang Chen, Adam Berry, Mike Reed, Shujia Zhang, Siobhan Savage:
A Survey on Ethical Principles of AI and Implementations. SSCI 2020: 3010-3017
2010 – 2019
- 2017
- [j2]Peter Vamplew, Rustam Issabekov, Richard Dazeley, Cameron Foale, Adam Berry, Tim Moore, Douglas C. Creighton:
Steering approaches to Pareto-optimal multiobjective reinforcement learning. Neurocomputing 263: 26-38 (2017) - 2011
- [j1]Peter Vamplew, Richard Dazeley, Adam Berry, Rustam Issabekov, Evan Dekker:
Empirical evaluation methods for multiobjective reinforcement learning algorithms. Mach. Learn. 84(1-2): 51-80 (2011)
2000 – 2009
- 2008
- [c5]Peter Vamplew, John Yearwood, Richard Dazeley, Adam Berry:
On the Limitations of Scalarisation for Multi-objective Reinforcement Learning of Pareto Fronts. Australasian Conference on Artificial Intelligence 2008: 372-378 - 2006
- [c4]Adam Berry, Peter Vamplew:
An efficient approach to unbounded bi-objective archives -: introducing the mak_tree algorithm. GECCO 2006: 619-626 - 2005
- [c3]Luke Temby, Peter Vamplew, Adam Berry:
Accelerating Real-Valued Genetic Algorithms Using Mutation-with-Momentum. Australian Conference on Artificial Intelligence 2005: 1108-1111 - [c2]Adam Berry, Peter Vamplew:
The Combative Accretion Model - Multiobjective Optimisation Without Explicit Pareto Ranking. EMO 2005: 77-91 - 2003
- [c1]Adam Berry, Peter Vamplew:
A simplified artificial life model for multiobjective optimisation: a preliminary report. IEEE Congress on Evolutionary Computation 2003: 1331-1339
Coauthor Index
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