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Emergence of memory in neuroevolution
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation, 2012How to drive a learning process towards the emergence of a memory? It is hypothesized here that a reward function which evaluates the fulfillment of a task requiring memory does not necessarily reward the stepping stones to this cognitive ability. This question is studied from an evolutionary robotics perspective.
Charles Ollion +2 more
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Scalable Neuroevolution for Reinforcement Learning
2012The idea of using evolutionary computation to train artificial neural networks, or neuroevolution (NE), has now been around for over 20 years. The main appeal of this approach is that, because it does not rely on gradient information (e.g. backpropagation), it can potentially harness the universal function approximation capability of neural networks to
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Surrogate-assisted neuroevolution
Proceedings of the Genetic and Evolutionary Computation Conference, 2022Bryson Greenwood, Tyler McDonnell
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Neuroevolution of hierarchical reservoir computers
Proceedings of the Genetic and Evolutionary Computation Conference, 2018Reservoir Computers such as Echo State Networks (ESN) represent an alternative recurrent neural network model that provides fast training and state-of-the-art performances for supervised learning problems. Classic ESNs suffer from two limitations; hyperparameter selection and learning of multiple temporal and spatial scales.
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Multiagent Learning through Neuroevolution
2012Neuroevolution 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 ...
Risto Miikkulainen +6 more
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Transfer Learning for Embodied Neuroevolution
Proceedings of the Companion Conference on Genetic and Evolutionary Computation, 2023Divya D. Kulkarni 0001 +1 more
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Scalable Neuroevolution of Ensemble Learners
Proceedings of the Companion Conference on Genetic and Evolutionary Computation, 2023Marcel Merten +2 more
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Development of a neuroevolution machine learning potential of Pd-Cu-Ni-P alloys
Materials and Design, 2023Cuilan Wu, Ping Peng, Rui Zhao
exaly
Distributed Bayesian optimisation framework for deep neuroevolution
Neurocomputing, 2022Rohitash Chandra
exaly
2012 13th International Conference on Optimization of Electrical and Electronic Equipment (OPTIM), 2012
Florian Neukart +3 more
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Florian Neukart +3 more
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