Antony Waldock

13 papers A* 1A 1B 1Journal 4Unranked 6
YearRankTypeTitle / Venue / Authors
2018 J jnl
Learning to Perform a Perched Landing on the Ground Using Deep Reinforcement Learning.
J. Intell. Robotic Syst.
Antony Waldock, Colin Greatwood, Francis Salama, Thomas Richardson
2016 J jnl
Learning a robot controller using an adaptive hierarchical fuzzy rule-based system.
Soft Comput.
Antony Waldock, Brian Carse
2015 A* conf
A Study of Human-Agent Collaboration for Multi-UAV Task Allocation in Dynamic Environments.
IJCAI
Sarvapali D. Ramchurn, Joel E. Fischer, Yuki Ikuno, Feng Wu, Jack Flann, Antony Waldock
2013 — conf
Large-scale optimization: Are co-operative co-evolution and fitness inheritance additive?
UKCI
Aboubakar Hameed, David Corne, David Morgan, Antony Waldock
2013 — conf
MOPC/D: A new probability collectives algorithm for multiobjective optimisation.
MCDM
David Morgan, Antony Waldock, David Corne
2012 — conf
Efficient systems analysis by combining SysML and coevolution.
SoSE
David Morgan, Antony Waldock, David Corne
2012 — conf
Exploiting Prior Information in Multi-objective Route Planning.
PPSN (2)
Antony Waldock, David W. Corne
2011 J jnl
A Framework for Cooperative Control Applied to a Distributed Sensor Network.
Comput. J.
Antony Waldock, David Nicholson
2011 A conf
Multiple objective optimisation applied to route planning.
GECCO
Antony Waldock, David Corne
2010 — conf
Multi-Objective Probability Collectives.
EvoApplications (1)
Antony Waldock, David Corne
2008 B conf
Fuzzy Q-Learning with an adaptive representation.
FUZZ-IEEE
Antony Waldock, Brian Carse
2006 J jnl
Hierarchical fuzzy rule based systems using an information theoretic approach.
Soft Comput.
Antony Waldock, Brian Carse, Chris Melhuish
2003 — conf
A hierarchical fuzzy rule-based learning system based on an information theoretic.
EUSFLAT Conf.
Antony Waldock, Brian Carse, Chris Melhuish