UTCS Artificial Intelligence
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Vinod Valsalam
Ph.D. Student
Vinod's research focuses on understanding how learning and evolution interact in producing complex systems.
Email:
vkv [at] cs utexas edu
Homepage:
http://www.cs.utexas.edu/users/vkv/
Publications
Evolving Symmetric and Modular Neural Networks for Distributed Control
(2009)
Vinod K. Valsalam and Risto Miikkulainen
Evolving Symmetric and Modular Neural Network Controllers for Multilegged Robots
(2009)
Vinod K. Valsalam and Risto Miikkulainen
Modular Neuroevolution for Multilegged Locomotion
(2008)
Vinod K. Valsalam and Risto Miikkulainen
Developing Complex Systems Using Evolved Pattern Generators
(2007)
Vinod K. Valsalam, James A. Bednar, and Risto Miikkulainen
Establishing an Appropriate Learning Bias Through Development
(2006)
Vinod K. Valsalam, James A. Bednar, and Risto Miikkulainen
Constructing Good Learners Using Evolved Pattern Generators
(2005)
Vinod K. Valsalam, James A. Bednar, and Risto Miikkulainen
Projects
Constructing Intelligent Agents in Simulated Worlds
Leveraging Human Creativity with Machine Discovery
Evolving Locomotion Controllers for Multilegged Robots
Modular Neuroevolution for Multilegged Locomotion
Developing Complex Systems Using Evolved Pattern Generators
Areas of Interest
Computational Neuroscience
Neuroevolution
Cognitive Science
Evolutionary Computation
Labs
Neural Networks