2 papers
cs.LG2017
Adaptive Simulation-based Training of AI Decision-makers using Bayesian Optimization
Brett W. Israelsen, Nisar Ahmed, Kenneth Center +2
This work studies how an AI-controlled dog-fighting agent with tunable decision-making parameters can learn to optimize performance against an intelligent adversary, as measured by…
stat.ML2016
Towards Adaptive Training of Agent-based Sparring Partners for Fighter Pilots
Brett W. Israelsen, Nisar Ahmed, Kenneth Center +2
A key requirement for the current generation of artificial decision-makers is that they should adapt well to changes in unexpected situations. This paper addresses the situation in…