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ORCIDAlan J. Lockett
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Books and Theses
- 2020
[b1]Alan J. Lockett:
General-Purpose Optimization Through Information Maximization. Natural Computing Series, Springer 2020, ISBN 978-3-662-62006-9, pp. 1-485
Journal Articles
- 2017
- [j2]Alan J. Lockett, Risto Miikkulainen:
A Probabilistic Reformulation of No Free Lunch: Continuous Lunches Are Not Free. Evol. Comput. 25(3): 503-528 (2017) - 2014
- [j1]Alan J. Lockett, Risto Miikkulainen:
Evolutionary annealing: global optimization in measure spaces. J. Glob. Optim. 58(1): 75-108 (2014)
Conference and Workshop Papers
- 2015
- [c9]Alan J. Lockett:
Insights From Adversarial Fitness Functions. FOGA 2015: 25-39 - [c8]Marijn F. Stollenga, Alan J. Lockett, Jürgen Schmidhuber:
The Natural Gradient as a control signal for a humanoid robot. Humanoids 2015: 187-193 - 2014
- [c7]Alan J. Lockett:
Model-optimal optimization by solving bellman equations. GECCO 2014: 1407-1414 - 2013
- [c6]Alan J. Lockett, Risto Miikkulainen:
A measure-theoretic analysis of stochastic optimization. FOGA 2013: 105-118 - [c5]Alan J. Lockett, Risto Miikkulainen:
Neuroannealing: martingale optimization for neural networks. GECCO 2013: 711-718 - 2011
- [c4]Alan J. Lockett, Risto Miikkulainen:
Measure-theoretic evolutionary annealing. IEEE Congress on Evolutionary Computation 2011: 2139-2146 - [c3]Alan J. Lockett, Risto Miikkulainen:
Real-space evolutionary annealing. GECCO 2011: 1179-1186 - 2008
- [c2]Alan J. Lockett, Risto Miikkulainen:
Evolving opponent models for Texas Hold 'Em. CIG 2008: 31-38 - 2007
- [c1]Alan J. Lockett, Charles L. Chen, Risto Miikkulainen:
Evolving explicit opponent models in game playing. GECCO 2007: 2106-2113
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