Nate Kohl - Concepedia

Author

Nate Kohl

The University of Texas at Austin

Also Known As

N. Kohl, Nate Kohl

Publications

1.3K

Citations

H-Index

Concepts

All Affiliations

The University of Texas at Austin

About

Nate Kohl is an author at The University of Texas at Austin specializing in engineering, intelligent systems, and artificial intelligence.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	9	9	1.1K
2	Health Sciences	2	2	731
3	Social Sciences	2	2	124
4	Cognitive Science	2	2	113
5	Management	1	1	62

Nate Kohl

Publications

1.2K

Citations

H-Index

Page 1

	Year	Citations
Policy gradient reinforcement learning for fast quadrupedal locomotion Nate Kohl, Peter Stone Artificial IntelligenceEngineeringField RoboticsPolicy Gradient ReinforcementMotor Control	2004	580
Machine learning for fast quadrupedal locomotion Nate Kohl, Peter Stone Artificial IntelligenceEngineeringMachine LearningField RoboticsFast Quadrupedal Locomotion	2004	151
Automatic feature selection in neuroevolution Shimon Whiteson, Peter Stone, Kenneth O. Stanley, Artificial IntelligenceEngineeringMachine LearningMeta-learningFeature Selection	2005	106
Evolving Soccer Keepaway Players Through Task Decomposition Shimon Whiteson, Nate Kohl, Risto Miikkulainen, Machine Learning Artificial IntelligenceGame AiCognitive ScienceEngineeringEvolutionary Game Theory	2005	95
Evolving neural networks for strategic decision-making problems Nate Kohl, Risto Miikkulainen Neural Networks Evolving Neural NetworkManagementBusiness StrategyStrategyNeural Networks	2009	62
Evolving a real-world vehicle warning system Nate Kohl, Kenneth O. Stanley, Risto Miikkulainen, Artificial IntelligenceEngineeringMachine LearningWarning SystemAi Foundation	2006	52
Neuroevolution of an automobile crash warning system Kenneth O. Stanley, Nate Kohl, Rini Sherony, Artificial IntelligenceEngineeringMachine LearningWarning SystemAi Foundation	2005	51
Evolving neural networks for fractured domains Nate Kohl, Risto Miikkulainen Artificial IntelligenceEvolution StrategyEngineeringMachine LearningEvolutionary Robotics	2008	22
From pixels to multi-robot decision-making: A study in uncertainty Peter Stone, Mohan Sridharan, Daniel Stronger, Robotics and Autonomous Systems Multi-robot Decision-makingEngineeringUncertainty QuantificationDesignAutomation	2006	21
An Integrated Neuroevolutionary Approach to Reactive Control and High-Level Strategy Nate Kohl, Risto Miikkulainen IEEE Transactions on Evolutionary Computation Artificial IntelligenceEngineeringMachine LearningAdaptive Operator SelectionMotor Control	2012	18

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