Adaptive Simulation-Based Training of Artificial-Intelligence Decision Makers Using Bayesian Optimization

Brett W. Israelsen
Brett W. Israelsen
Roderick Green
Roderick Green
Winston Bennett
Winston Bennett

Journal of Aerospace Information Systems, pp. 38-56, 2018.

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Abstract:

This work studies how an artifical-intelligence-controlled dogfighting agent with tunable decision-making parameters can learn to optimize performance against an intelligent adversary, as measured by a stochastic objective function evaluated on simulated combat engagements. Gaussian process Bayesian optimization techniques are developed t...More

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