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A Hypercube-Based Encoding for Evolving Large-Scale Neural Networks

The main conclusion is that the ability to explore the space of regular connectivity patterns opens up a new class of complex high-dimensional tasks to neuroevolution.
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Picbreeder: A Case Study in Collaborative Evolutionary Exploration of Design Space

The strengths of the Picbreeder approach are discussed, but its challenges and shortcomings as well are discussed in the hope that lessons learned will inform the design of future CIE systems.
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Scalable multiagent learning through indirect encoding of policy geometry

An alternative approach to multiagent learning called multiagent HyperNEAT is presented that represents the team as a pattern of policies rather than as a set of individual agents, and is compared to a traditional learning method, multiagent Sarsa(λ), in a predator–prey domain, where it demonstrates its ability to train large teams.
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Generative encoding for multiagent learning

The Hypercube-based NeuroEvolution of Augmenting Topologies (HyperNEAT) generative approach to evolving neurocontrollers learns a set of coordinated policies encoded by a single genome representing a team of predator agents that work together to capture prey.
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Evolving policy geometry for scalable multiagent learning

This paper presents an alternative evolutionary approach to multiagent learning called multiagent HyperNEAT that encodes the team as a pattern of related policies rather than as a set of individual agents, and introduces policy geometry to describe the relationship between each agent's policy and its canonical geometric position within the team.
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A novel generative encoding for exploiting neural network sensor and output geometry

A method for evolving connective CPPNs called Hypercube-based Neuroevolution of Augmenting Topologies (HyperNEAT) discovers sensible repeating motifs that take advantage of two different placement schemes, demonstrating the utility of such an approach.
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Combining Search-Based Procedural Content Generation and Social Gaming in the Petalz Video Game

A Facebook game called Petalz in which players can share flowers they breed themselves with other players through a global marketplace, which allows players to set the price of their evolved aesthetically-pleasing flowers in virtual currency.
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Task switching in multirobot learning through indirect encoding

S situational policy geometry is introduced, which allows each agent to encode multiple policies that can be switched depending on the agent's state, which is demonstrated both in simulation and in real Khepera III robots in a patrol and return task.
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HyperNEAT: The First Five Years

This chapter reviews these first 5 years of research that builds upon this approach, and culminates with thoughts on promising future directions.
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Picbreeder: Collaborative Interactive Evolution of Images

The continual process of evolving and branching means that images can continue to improve and increase in complexity indefinitely, yielding a proliferation of artistic novelty that requires no explicit artistic talent to produce.
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