The paper introduces the GT-FEP variational framework deriving a non-monotonic Shapley-value vs. precision relationship and proposes the APC adaptive algorithm that performs comparably to tuned fixed precision on real trajectory datasets without prior tuning.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.GT 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Coalition Free Energy and Adaptive Precision in Multi-Agent Cooperation
The paper introduces the GT-FEP variational framework deriving a non-monotonic Shapley-value vs. precision relationship and proposes the APC adaptive algorithm that performs comparably to tuned fixed precision on real trajectory datasets without prior tuning.