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20212026
most citedBreaching the Bottleneck: Evolutionary Transition from Reward-Driven Learning to Reward-Agnostic Domain-Adapted Learning in Neuromodulated Neural Nets

1 citations · 1 across the 5 of their papers we have counts for

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cs.NE2024

Flow-Lenia.png: Evolving Multi-Scale Complexity by Means of Compression

Tadashi Adachi, Solvi Arnold, Takafumi Mochizuki +1

We propose a fitness measure quantifying multi-scale complexity for cellular automaton states, using compressibility as a proxy for complexity. The use of compressibility is ground…

cs.NE2024★ 1 cited

Breaching the Bottleneck: Evolutionary Transition from Reward-Driven Learning to Reward-Agnostic Domain-Adapted Learning in Neuromodulated Neural Nets

Solvi Arnold, Reiji Suzuki, Takaya Arita +1

Advanced biological intelligence learns efficiently from an information-rich stream of stimulus information, even when feedback on behaviour quality is sparse or absent. Such learn…