Corrected heavy-ball Q-learning with convergence and acceleration guarantees is derived via switched linear system and joint spectral radius analysis, extended to linear function approximation.
Generating functions of switched linear systems: analysis, computation, and stability applications
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.LG 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Introduces and analyzes the λ-target update for linear Q-learning via geometric averaging of periodic target maps, studied with a switching-system model in the deterministic case.
citing papers explorer
-
Heavy-Ball Q-Learning with Residual Weighting Correction
Corrected heavy-ball Q-learning with convergence and acceleration guarantees is derived via switched linear system and joint spectral radius analysis, extended to linear function approximation.
-
Geometrically Averaged Hard Target Updates for Linear Q-Learning
Introduces and analyzes the λ-target update for linear Q-learning via geometric averaging of periodic target maps, studied with a switching-system model in the deterministic case.