activity
20142023
most citedDeep Learning for Procedural Content Generation

143 citations · 673 across the 47 of their papers we have counts for

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Showing 2017Show all

5 papers · 1 filter

cs.AI2017

HyperENTM: Evolving Scalable Neural Turing Machines through HyperNEAT

Jakob Merrild, Mikkel Angaju Rasmussen, Sebastian Risi

Recent developments within memory-augmented neural networks have solved sequential problems requiring long-term memory, which are intractable for traditional neural networks. Howev…

cs.ET2017★ 25 cited

Flora robotica -- An Architectural System Combining Living Natural Plants and Distributed Robots

Heiko Hamann, Mohammad Divband Soorati, Mary Katherine Heinrich +13

Key to our project flora robotica is the idea of creating a bio-hybrid system of tightly coupled natural plants and distributed robots to grow architectural artifacts and spaces. O…

cs.AI2017

Deep Learning for Video Game Playing

Niels Justesen, Philip Bontrager, Julian Togelius +1

In this article, we review recent Deep Learning advances in the context of how they have been applied to play different types of video games such as first-person shooters, arcade g…

cs.AI2017

Learning Macromanagement in StarCraft from Replays using Deep Learning

Niels Justesen, Sebastian Risi

The real-time strategy game StarCraft has proven to be a challenging environment for artificial intelligence techniques, and as a result, current state-of-the-art solutions consist…

cs.NE2017★ 124 cited

Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks

Andrea Soltoggio, Kenneth O. Stanley, Sebastian Risi

Biological plastic neural networks are systems of extraordinary computational capabilities shaped by evolution, development, and lifetime learning. The interplay of these elements…