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Thomas D'Silva
Intelligent Robotics Lab
:
Masters Alumni
Neural Networks Lab
:
Masters Alumni
Thomas got his MS degree in the ECE department, with Risto Miikkulainen and Ben Kuipers as his supervisors. After graduating, he went to work with Language Computer Corporation in Dallas, TX.
Email:
twdsilva [at] gmail com
Publications
Learning Dynamic Obstacle Avoidance for a Robot Arm Using Neuroevolution
2009
Thomas D'Silva, Risto Miikkulainen,
Neural Processing Letters
(2009).
Autonomous Learning of Stable Quadruped Locomotion
2007
Manish Saggar, Thomas D'Silva, Nate Kohl, and Peter Stone, In
RoboCup-2006: Robot Soccer World Cup X
, Gerhard Lakemeyer and Elizabeth Sklar and Domenico Sorenti and Tomoichi Takahashi (Eds.), Vol. 4434, pp. 98-109, Berlin 2007. Springer Verlag.
Evolving Robot Arm Controllers Using the NEAT Neuroevolution Method
2006
Thomas W. D'Silva, Masters Thesis, Department of Electrical and Computer Engineering, The University of Texas at Austin.
Integration and Evaluation of Exploration-Based Learning in Games
2006
Igor V. Karpov, Thomas D'Silva, Craig Varrichio, Kenneth O. Stanley, Risto Miikkulainen, In
Proceedings of the {IEEE} Symposium on Computational Intelligence and Games
, Reno, NV 2006. IEEE.
Real-Time Learning in the NERO Video Game
2005
Kenneth O. Stanley, Ryan Cornelius, Risto Miikkulainen, Thomas D'Silva, and Aliza Gold, In
Proceedings of the Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE 2005) Demo Papers
2005.
Retaining Learned Behavior During Real-Time Neuroevolution
2005
Thomas D'Silva, Roy Janik, Michael Chrien, Kenneth O. Stanley and Risto Miikkulainen,
Artificial Intelligence and Interactive Digital Entertainment
(2005). American Association for Artificial Intelligence.
Areas of Interest
Evolutionary Computation
Neuroevolution
Robotics
Software/Data
NEAT C++
The NEAT package contains source code implementing the NeuroEvolution of Augmenting Topologies method. The source code i...
2010
Labs
Formerly affiliated with
Intelligent Robotics
Formerly affiliated with
Neural Networks