A hierarchical fuzzy rule-based learning system based on an information theoretic. - Antony Waldock; Brian Carse; Chris Melhuish (EUSFLAT Conf., 2003)

Hierarchical fuzzy rule based systems using an information theoretic approach. - Antony Waldock; Brian Carse; Chris Melhuish (Soft Comput., 2006)

Fuzzy Q-Learning with an adaptive representation. - Antony Waldock; Brian Carse (FUZZ-IEEE, 2008)

Multi-Objective Probability Collectives. - Antony Waldock; David Corne (EvoApplications (1), 2010)

Multiple objective optimisation applied to route planning. - Antony Waldock; David Corne (GECCO, 2011)

A Framework for Cooperative Control Applied to a Distributed Sensor Network. - Antony Waldock; David Nicholson (Comput. J., 2011)

Exploiting Prior Information in Multi-objective Route Planning. - Antony Waldock; David W. Corne (PPSN (2), 2012)

Efficient systems analysis by combining SysML and coevolution. - David Morgan; Antony Waldock; David Corne (SoSE, 2012)

MOPC/D: A new probability collectives algorithm for multiobjective optimisation. - David Morgan; Antony Waldock; David Corne (MCDM, 2013)

Large-scale optimization: Are co-operative co-evolution and fitness inheritance additive? - Aboubakar Hameed; David Corne; David Morgan; Antony Waldock (UKCI, 2013)

A Study of Human-Agent Collaboration for Multi-UAV Task Allocation in Dynamic Environments. - Sarvapali D. Ramchurn; Joel E. Fischer; Yuki Ikuno; Feng Wu 001; Jack Flann; Antony Waldock (IJCAI, 2015)

Learning a robot controller using an adaptive hierarchical fuzzy rule-based system. - Antony Waldock; Brian Carse (Soft Comput., 2016)

Learning to Perform a Perched Landing on the Ground Using Deep Reinforcement Learning. - Antony Waldock; Colin Greatwood; Francis Salama; Thomas Richardson 002 (J. Intell. Robotic Syst., 2018)