Policy composition emerges from variational free energy minimization through a convergent gradient flow with a soft-competitive recurrent neural implementation.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2025 2verdicts
UNVERDICTED 2representative citing papers
An enhanced octree S^3 algorithm reduces CFD mesh cells 35-95% across three test cases while preserving dominant dynamics for efficient post-processing.
citing papers explorer
-
Neural Policy Composition from Free Energy Minimization
Policy composition emerges from variational free energy minimization through a convergent gradient flow with a soft-competitive recurrent neural implementation.
-
An octree-based sampling algorithm for analyzing big simulation data
An enhanced octree S^3 algorithm reduces CFD mesh cells 35-95% across three test cases while preserving dominant dynamics for efficient post-processing.