Multiscale Stochastic Approximation for Parametric Optimization of Hidden Markov Models
From MaRDI portal
Publication:5488556
DOI10.1017/S0269964800005003zbMath1096.93546OpenAlexW2163743900MaRDI QIDQ5488556
Vivek S. Borkar, Shalabh Bhatnagar
Publication date: 22 September 2006
Published in: Probability in the Engineering and Informational Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1017/s0269964800005003
Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).
Related Items (3)
Multiscale Q-learning with linear function approximation ⋮ Stochastic approximation algorithms: overview and recent trends. ⋮ Finite-sample analysis of nonlinear stochastic approximation with applications in reinforcement learning
Cites Work
- Unnamed Item
- Unnamed Item
- Stochastic approximation methods for constrained and unconstrained systems
- The Kumar-Becker-Lin scheme revisited
- White-Noise Representations in Stochastic Realization Theory
- Recursive Stochastic Algorithms for Global Optimization in $\mathbb{R}^d $
- Stochastic optimization of regenerative systems using infinitesimal perturbation analysis
- Optimization of Queues Using an Infinitesimal Perturbation Analysis-Based Stochastic Algorithm with General Update Times
- Stability and convergence of moments for multiclass queueing networks via fluid limit models
- Managing interprocessor delays in distributed recursive algorithms
This page was built for publication: Multiscale Stochastic Approximation for Parametric Optimization of Hidden Markov Models