EvoSK couples reinforcement learning with evolutionary replacement on a rugged landscape to self-organize at the edge of ergodicity breaking, yielding scale-free avalanches with exponent near -1.5 and superior rewards.
S2.Critical Avalanches.Avalanche size distributionsP(S) on log-log axes forα= 0.5−0.8, coinciding with the the clear critical regime (see Fig 2)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
nlin.AO 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Self-Organization to the Edge of Ergodicity Breaking in a Complex Adaptive System
EvoSK couples reinforcement learning with evolutionary replacement on a rugged landscape to self-organize at the edge of ergodicity breaking, yielding scale-free avalanches with exponent near -1.5 and superior rewards.