Nate Kohl
Ph.D. Alumni
Nate's dissertation focused on methods for dealing with fractured problems in neuroevolution, i.e. those where small changes in the input may cause large required changes in the output. More broadly, Nate worked on complexification in evolution, and on machine learning in real-world tasks like automobile collision warning and robotic soccer.
Homepage:
http://natekohl.net/
Publications
     [Expand to show all 16][Minimize]
An Integrated Neuroevolutionary Approach to Reactive Control and High-level Strategy 2011
Nate Kohl, Risto Miikkulainen, IEEE Transactions on Evolutionary Computation, 2011.
Evolving Neural Networks for Strategic Decision-Making Problems 2009
Nate Kohl and Risto Miikkulainen, In Neural Networks, Special issue on Goal-Directed Neural Systems, 2009.
Learning in Fractured Problems for Constructive Neural Network Algorithms 2009
Nate Kohl, PhD Thesis, Department of Computer Sciences, University of Texas at Austin, Austin, TX, 2009.
Evolving Neural Networks for Fractured Domains 2008
Nate Kohl and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference, 1405-1412, July 2008.
Autonomous Learning of Stable Quadruped Locomotion 2007
Manish Saggar, Thomas D'Silva, Nate Kohl, and Peter Stone, In Gerhard Lakemeyer and Elizabeth Sklar and Domenico Sorenti and Tomoichi Takahashi, editors, RoboCup-2006: Robot Soccer World Cup X, Lecture Notes in Artificial Intelligence, 4434, 98-109, Be...
Evolving a Real-World Vehicle Warning System 2006
Nate Kohl, Kenneth Stanley, Risto Miikkulainen, Michael Samples, and Rini Sherony, In Proceedings of the Genetic and Evolutionary Computation Conference, 2006.
From Pixels to Multi-Robot Decision-Making: A Study in Uncertainty 2006
Peter Stone, Mohan Sridharan, Daniel Stronger, Gregory Kuhlmann, Nate Kohl, Peggy Fidelman, and Nicholas K. Jong, Robotics and Autonomous Systems, 54(11):933-43, November 2006. Special issue on Planning Under Uncertainty in Robotics..
The UT Austin Villa 2006 RoboCup Four-Legged Team 2006
Peter Stone, Peggy Fidelman, Nate Kohl, Gregory Kuhlmann, Tekin Mericli, Mohan Sridharan, and Shao-en Yu, Technical Report UT-AI-TR-06-337, The University of Texas at Austin, Department of Computer Sciences, AI Laboratory, December 2006.
Automatic Feature Selection via Neuroevolution 2005
Shimon Whiteson, Peter Stone, Kenneth O. Stanley, Risto Miikkulainen, and Nate Kohl, In Proceedings of the Genetic and Evolutionary Computation Conference, June 2005.
Evolving Keepaway Soccer Players through Task Decomposition 2005
Shimon Whiteson, Nate Kohl, Risto Miikkulainen, and Peter Stone, Machine Learning, 59(1):5-30, May 2005.
Neuroevolution of an Automobile Crash Warning System 2005
Kenneth Stanley, Nate Kohl, Rini Sherony, and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference, 2005.
The UT Austin Villa 2005 RoboCup Four-Legged Team 2005
Peter Stone, Kurt Dresner, Peggy Fidelman, Nate Kohl, Gregory Kuhlmann, Mohan Sridharan, and Daniel Stronger, Technical Report UT-AI-TR-05-325, The University of Texas at Austin, Department of Computer Sciences, AI Laboratory, November 2005.
Machine Learning for Fast Quadrupedal Locomotion 2004
Nate Kohl and Peter Stone, In Nineteenth National Conference on Artificial Intelligence, 611-616, July 2004.
Policy Gradient Reinforcement Learning for Fast Quadrupedal Locomotion 2004
Nate Kohl and Peter Stone, In Proceedings of the {IEEE} International Conference on Robotics and Automation, 2619-2624, May 2004.
The UT Austin Villa 2003 Four-Legged Team 2004
Peter Stone, Kurt Dresner, Selim T. Erdougan, Peggy Fidelman, Nicholas K. Jong, Nate Kohl, Gregory Kuhlmann, Ellie Lin, Mohan Sridharan, Daniel Stronger, and Gurushyam Hariharan, In Daniel Polani and Brett Browning and Andrea Bonarini and Kazuo Yoshida, editors, RoboCup-2003: Robot Soccer World Cup VII, Berlin, 2004. Springer Verlag.
The UT Austin Villa 2004 RoboCup Four-Legged Team: Coming of Age 2004
Peter Stone, Kurt Dresner, Peggy Fidelman, Nicholas K. Jong, Nate Kohl, Gregory Kuhlmann, Mohan Sridharan, and Daniel Stronger, Technical Report UT-AI-TR-04-313, The University of Texas at Austin, Department of Computer Sciences, AI Laboratory, October 2004.
Projects
Learning Strategic Behavior in Sequential Decision Tasks 2009 - 2012
Constructing Intelligent Agents in Simulated Worlds 2008 - 2010
NEAT: Evolving Vehicle Warning Systems 2004 - 2006
Cooperative Coevolution of Multi-Agent Systems 2000 - 2007
NEAT: Evolving Increasingly Complex Neural Network Topologies 2000 - 2011
Areas of Interest
Applications Control Evolutionary Computation Game Playing Neuroevolution Reinforcement Learning Robotics
Demos
Learning in Fractured DomainsNate Kohl2009
Evolving Vehicle Warning SystemsNate Kohl2006
Labs
Neural Networks