Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Temporal difference learning and TD-Gammon
Communications of the ACM
ALIFE Proceedings of the sixth international conference on Artificial life
Co-Evolution in the Successful Learning of Backgammon Strategy
Machine Learning
The evolution of subtle manoeuvres in simulated hockey
Proceedings of the fifth international conference on simulation of adaptive behavior on From animals to animats 5
Animal-animat coevolution: using the animal population as fitness function
Proceedings of the fifth international conference on simulation of adaptive behavior on From animals to animats 5
Co-evolutionary Auction Mechanism Design: A Preliminary Report
AAMAS '02 Revised Papers from the Workshop on Agent Mediated Electronic Commerce on Agent-Mediated Electronic Commerce IV, Designing Mechanisms and Systems
Auctions, evolution, and multi-agent learning
ALAMAS'05/ALAMAS'06/ALAMAS'07 Proceedings of the 5th , 6th and 7th European conference on Adaptive and learning agents and multi-agent systems: adaptation and multi-agent learning
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Robustness has long been recognised as a critical issue for coevolutionary learning. It has been achieved in a number of cases, though usually in domains which involve some form of non-determinism. We examine a deterministic domain - a pseudo real-time two-player game called Tron - and evolve a neural network player using a simple hill-climbing algorithm. The results call into question the importance of determinism as a requirement for successful co-evolutionary learning, and provide a good opportunity to examine the relative importance of other factors.