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The research I am currently interested in encompasses three main
Artificial Neural Networks,
Evolutionary Algorithms and
Simulation and modelling.
This is a list of the papers I am currently working on. They will be available for public download once complete.
- Genetic Programming for defining options in Temporally Abstract
Learning. (in prep.)
Reinforcement learning with continuous action values
- Multiple agents and the maximization of expected reward. (in prep.)
- Maximizing total expected reward for multiple agents with
conflicting goals. (in prep.)
- Selfish neurons: Models of reinforcement for neural computing
elements. (in prep.)