69 citations · 167 across the 14 of their papers we have counts for
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cs.NE2023★ 5 cited
Brain-inspired learning in artificial neural networks: a review
Samuel Schmidgall, Jascha Achterberg, Thomas Miconi +4
Artificial neural networks (ANNs) have emerged as an essential tool in machine learning, achieving remarkable success across diverse domains, including image and speech generation,…
cs.LG2023
Procedural generation of meta-reinforcement learning tasks
Thomas Miconi
Open-endedness stands to benefit from the ability to generate an infinite variety of diverse, challenging environments. One particularly interesting type of challenge is meta-learn…