David B. D'Ambrosio
Ph.D.
University of Central Florida
Department of Electrical Engineering and Computer Science
ddambro@cs.ucf.edu
Office: Harris 201


About Me | Publications | Software | CV

About Me

My name is David D'Ambrosio and I am currently a Post-doctoral researcher at the University of Central Florida. I obtained my BS in Computer Science at Florida Atlantic Univeristy and my MS and PhD in Computer Science at the University of Central Florida. My current interests include multiagent and multirobot systems, neuroevolution, generative and developmental encodings, Compositional Pattern Producing Networks (CPPNs), and HyperNEAT. My research areas are: agent and multi-agent control and emergent complexity in artifical and natural systems.

Publications

Dissertation: Multiagent Learning through Indirect Encoding

Task Switching in Multiagent Learning through Indirect Encoding
David B. D'Ambrosio, Joel Lehman, Sebastian Risi, and Kenneth O. Stanley
Department of Electrical Engineering and Computer Science, University of Central Florida
In: Proceedings of the International Conference on Intelligent Robots and Systems (IROS 2011, San Francisco, CA). 8 pages.

Picbreeder: A Case Study in Collaborative Evolutionary Exploration of Design Space
Jimmy Secretan, Nicholas Beato, David B. D’Ambrosio, Adelein Rodriguez, Adam Campbell, Jeremiah T. Folsom-Kovarik, and Kenneth O. Stanley
Department of Electrical Engineering and Computer Science, University of Central Florida
In: Evolutionary Computation journal. Cambridge, MA: MIT Press, 2011. 33 pages.

Evolving Policy Geometry for Scalable Multiagent Learning
David B. D’Ambrosio, Joel Lehman, Sebastian Risi, and Kenneth O. Stanley
Department of Electrical Engineering and Computer Science, University of Central Florida
In: Proceedings of the Ninth International Conference on Autonomous Agents and Multiagent Systems (AAMAS-2010). 8 pages.

A Hypercube-Based Indirect Encoding for Evolving Large-Scale Neural Networks
Kenneth O. Stanley, David B. D'Ambrosio, and Jason Gauci
In: Artificial Life Vol. 15, No. 2. Cambridge, MA: MIT Press, 2009. 28 pages.

Generative Encoding for Multiagent Learning
David B. D'Ambrosio and Kenneth O. Stanley
Department of Electrical Engineering and Computer Science, University of Central Florida
In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2008). New York, NY: ACM, 2008. 8 pages.
Winner of the Best Paper Award in the Generative and Developmental Systems track at GECCO-2008

Picbreeder: Evolving Pictures Collaboratively Online
Jimmy Secretan, Nicholas Beato, David B. D'Ambrosio, Adelein Rodriguez, Adam Campbell and Kenneth O. Stanley
Department of Electrical Engineering and Computer Science, University of Central Florida
In: Proceedings of the Computer Human Interaction Conference (CHI 2008). New York, NY: ACM, 2008 (10 pages)

Picbreeder: Collaborative Interactive Evolution of Images
Jimmy Secretan, Nicholas Beato, David B. D'Ambrosio, Adelein Rodriguez, Adam Campbell and Kenneth O. Stanley
Department of Electrical Engineering and Computer Science, University of Central Florida
In: Leonardo (Transactions Section) Vol. 41, No. 1 (2007)

A Novel Generative Encoding for Exploiting Neural Network Sensor and Output Geometry
David B. D'Ambrosio and Kenneth O. Stanley
Department of Electrical Engineering and Computer Science, University of Central Florida
In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2007). New York, NY: ACM, 2007. 8 pages.
Nominated for Best Paper Award in the Generative and Developmental Systems track at GECCO-2007

Software

Picbreeder: A collaborative image evolution project where anyone on the internet can create all sorts of interesting images and explore the power of evolution. I worked on both the server side scripts and the evolution applet.
HyperSharpNEAT: Colin Green's SharpNEAT updated to work with HyperNEAT.
Multiagent Simulator with HyperSharpNEAT: A Multiagent simulator designed to work with NEAT, HyperNEAT and multiagent HyperNEAT.
Petalz: A social game I built with my labmates that allows users to breed, trade, and sell artifically evolved flowers. Public beta coming soon.