Flocks, herds and schools: A distributed behavioral model
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Technical Note: \cal Q-Learning
Machine Learning
Incremental evolution of complex general behavior
Adaptive Behavior - Special issue on environment structure and behavior
Blondie24: playing at the edge of AI
Blondie24: playing at the edge of AI
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Cultural evolution in neural networks
IEEE Expert: Intelligent Systems and Their Applications
Evolving neural networks through augmenting topologies
Evolutionary Computation
Distributed computing in practice: the Condor experience: Research Articles
Concurrency and Computation: Practice & Experience - Grid Performance
Evolving a real-world vehicle warning system
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Evolutionary Function Approximation for Reinforcement Learning
The Journal of Machine Learning Research
Forming neural networks through efficient and adaptive coevolution
Evolutionary Computation
Active guidance for a finless rocket using neuroevolution
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
Evolving agent behavior in multiobjective domains using fitness-based shaping
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Modeling social learning of language and skills
Artificial Life
Coevolution of Role-Based Cooperation in Multiagent Systems
IEEE Transactions on Autonomous Mental Development
Real-time neuroevolution in the NERO video game
IEEE Transactions on Evolutionary Computation
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Incremental Social Learning in Particle Swarms
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Evolving Symmetry for Modular System Design
IEEE Transactions on Evolutionary Computation
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Neuroevolution is a promising approach for constructing intelligent agents in many complex tasks such as games, robotics, and decision making. It is also well suited for evolving team behavior for many multiagent tasks. However, new challenges and opportunities emerge in such tasks, including facilitating cooperation through reward sharing and communication, accelerating evolution through social learning, and measuring how good the resulting solutions are. This paper reviews recent progress in these three areas, and suggests avenues for future work.