The UT Austin Villa 2003 Champion Simulator Coach: A Machine Learning Approach - Kuhlmann, Stone, et al. - 2004 () Citation Context ...eive sensory inputs, generate a decision, and send a command to the server. An additional class of RoboCup clients was recently introduced, known as the ...
Kuhlmann, G., Stone, P., Lallinger, J.: The champion UT Austin Villa 2003 simulator online coach team. In: Polani, D., Browning, B., Bonarini, A., Yoshida, K. (eds.) RoboCup 2003: Robot Soccer World Cup VII. Springer, Berlin (2004) (to appear) Quinlan, J.R.: C4.5: Program...
Here, we use a structure-based, machine learning algorithm to engineer a robust and active PET hydrolase. Our mutant and scaffold combination (FAST-PETase: functional, active, stable and tolerant PETase) contains five mutations compared to wild-type PETase (N233K/R224Q/S121E from prediction ...
Ruohan mainly works in the fields of computer vision and machine learning with a specific focus on multisensory learning with sight, sound, and touch. His research has been recognized by the Michael H. Granof Award which is designated for UT ...
Berkeley United States Editors Peter Bartlett UC Berkeley Yoshua Bengio University of Montreal Avrim Blum CMU Craig Boutilier University of Toronto Stephen Boyd Stanford University Carla Brodley Tufts University Inderjit Dhillon UT Austin Jerome Friedman Stanford University Kenji Fukumizu ISM, Japan Zoubin ...
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Lallinger, "The UT Austin Villa 2003 Champion Simulator Coach: A Machine Learning Approach," RoboCup-2004: Robot Soccer World Cup VIII, pp. 636--644, Springer Verlag, Berlin, 2005.G. Kuhlmann, P. Stone, and J. Lallinger, "The UT Austin Villa 2003 Champion Simulator Coach: A Machine ...
From the software side, in partnership with the Faculty Innovation Center (FIC) at UT Austin, the design team created a web portal that allows students to upload parts remotely and access detailed directions for creating parts. It also allows administrators to remotely manage the queue and ...
Ant colony system: A cooperative learning approach to the traveling salesman problem. IEEE Trans. Evolut. Comput. 1997, 1, 53–66. [CrossRef] 36. Deb, K.; Mohan, M.; Mishra, S. Evaluating the ε-domination based multi-objective evolutionary algorithm for a quick computation of Pareto-...