Samuel Greengard
Skip Abstract Section
Abstract
Game simulations are driving improvements in machine learning for autonomous vehicles and other devices.
- Bainbridge, L. Ironies of automation. New Technology and Human Error, J. Rasmussen, K. Duncan, J. Leplat (Eds.). Wiley, Chichester, U.K., 1987, 271-283.Google Scholar
- Bojarski, M., Del Testa, D., Dworakowski, D., Firner, B., Flepp, B., Goyal, P., Jackel, L.D., Monfort, M., Muller, U., Zhang, J., Zhang, X., Zhao, J., and Zieba, K. End to End Learning for Self-Driving Cars, April 25, 2016 https://arxiv.org/pdf/1604.07316v1.pdfGoogle Scholar
- Chen, C., Seff, A., Kornhauser, A., and Xiao, J. DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving, Proceedings of 15th IEEE International Conference on Computer Vision (ICCV2015), May 2015 http://deepdriving.cs.princeton.edu Google ScholarDigital Library
- Loiacono, D., Lanzi, P.L., Togelius, J., Onieva, E., Pelta, D.A., Butz, M.V., Lönneker, T.D., Cardamone, L., Perez, D., Sáez, Y., Preuss, M., and Quadflieg, J. The 2009 Simulated Car Racing Championship, IEEE Transactions on Computational Intelligence and AI in Games, Vol. 2, No. 2, June 2010 http://julian.togelius.com/Loiacono2010The.pdfGoogle ScholarCross Ref
- Filipowicz, A. Virtual Environments as Driving Schools for Deep Learning Vision-Based Sensors in Self-Driving Cars, June 2017. http://orfe.princeton.edu/~alaink/Theses/SeniorTheses'17/Artur_Filipowicz_VirtualEnvironmentsAsDrivingSchools.pdfGoogle Scholar
Index Terms
- Gaming machine learning
Recommendations
Machine Learning: The State of the Art
The two fundamental problems in machine learning (ML) are statistical analysis and algorithm design. The former tells us the principles of the mathematical models that we establish from the observation data. The latter defines the conditions on which ...
Comments