Jul 1, 2012 · In this paper, we propose to use artificial neural networks and linear regression analysis to learn the different playing strategies of several ...
Experimental results on TORCS-based car racing simulations show that the combination of the two machine learning algorithms with the heuristic outperforms other ...
Generalization of TORCS car racing controllers with artificial neural networks and linear regression analysis · Kyung-Joong Kim, Jun-Ho Seo, +1 author. J. Na ...
Experimental results on TORCS-based car racing simulations show that the combination of the two machine learning algorithms with the heuristic outperforms other ...
Dive into the research topics of 'Generalization of TORCS car racing controllers with artificial neural networks and linear regression analysis'. Together they ...
Bibliographic details on Generalization of TORCS car racing controllers with artificial neural networks and linear regression analysis.
This paper presents a controller for the 2010 Simulated Car Racing Championship that shows an acceptable performance of the controller in unknown tracks, ...
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Park, and J. C. Na, “Generalization of. TORCS car racing controllers with artificial neural networks and linear regression analysis,” Neurocomp, vol. 88, pp ...
Generalization of TORCS car racing controllers with artificial neural networks and linear regression analysis ... linear model such as artificial neural networks ...
1. The Bayesian Neural network-based controller manifests superior generalization capabilities in instances where access to an extensive dataset is constrained.