Corentin Leger |  Gautier Hamon... -  《Applications of Evolutionary Computation: 27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3-5, 2024, Proceedings, Part II》 -  European Conference on the Applications of Evolutionary Computation - 2024, - 36～60 - 共25页

摘要：Animals often demonstrate a remarkable ability |  to adapt to their environments during their |  lifetime. They do so partly due to the evolution of |  morphological and neural structures. These structures capture |  features of environments shared between generations to

关键词： Meta reinforcement learning |  Reservoir computing |  Evolutionary computation

Chloe Mercier |  Frederic Alexandre... -  《Artificial Neural Networks and Machine Learning - ICANN 2021: 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, p.IV》 -  International Conference on Artificial Neural Networks - 2021, - 608～612 - 共5页

摘要：Complex problem solving involves representing |  structured knowledge, reasoning and learning, all at once | . In this prospective study, we make explicit how a |  reinforcement learning paradigm can be applied to a symbolic |  representation of a concrete problem-solving task, modeled here

关键词： Reinforcement symbolic learning |  Ontology edit distances |  Models for learning sciences

NSTL主题词： Symbolic Learning |  Reinforcement