3 papers
cs.NE2021
Quality Evolvability ES: Evolving Individuals With a Distribution of Well Performing and Diverse Offspring
Adam Katona, Daniel W. Franks, James Alfred Walker
One of the most important lessons from the success of deep learning is that learned representations tend to perform much better at any task compared to representations we design by…
cs.LG2021
Growing 3D Artefacts and Functional Machines with Neural Cellular Automata
Shyam Sudhakaran, Djordje Grbic, Siyan Li +4
Neural Cellular Automata (NCAs) have been proven effective in simulating morphogenetic processes, the continuous construction of complex structures from very few starting cells. Re…
cs.LG2019
Time to Die: Death Prediction in Dota 2 using Deep Learning
Adam Katona, Ryan Spick, Victoria Hodge +4
Esports have become major international sports with hundreds of millions of spectators. Esports games generate massive amounts of telemetry data. Using these to predict the outcome…