New inference strategies for solving Markov Decision Processes using reversible jump MCMC

New inference strategies for solving Markov Decision Processes using reversible jump MCMC

Show other versions (1)

Bibliographic Details
Main Authors:	Hoffman, M, Kueck, H, de Freitas, N, Doucet, A
Format:	Conference item
Published:	Corvallis‚ Oregon 2009

Similar Items

New inference strategies for solving Markov Decision Processes using reversible jump MCMC
by: Hoffman, M, et al.
Published: (2009)

Inference Strategies for Solving Semi−Markov Decision Processes
by: Hoffman, M, et al.
Published: (2012)

Reversible Jump MCMC Simulated Annealing for Neural Networks
by: Andrieu, C, et al.
Published: (2000)

Fast MCMC sampling for Markov jump processes and extensions
by: Rao, V, et al.
Published: (2013)

Joint Bayesian model selection and estimation of noisy sinusoids via reversible jump MCMC
by: Andrieu, C, et al.
Published: (1999)

Fast MCMC sampling for Markov jump processes and continuous time Bayesian networks
by: Rao, V, et al.
Published: (2011)

Reversible Jump MCMC for Deghosting in MSPSR Systems
by: Pavel Kulmon
Published: (2021-07-01)

Reversible jump Markov chain Monte Carlo strategies for Bayesian model selection in autoregressive processes
by: Vermaak, J, et al.
Published: (2004)

Trans-dimensional MCMC for Bayesian policy learning
by: Hoffman, M, et al.
Published: (2009)

Bayesian Policy Learning with Trans−Dimensional MCMC
by: Hoffman, M, et al.
Published: (2007)

Inference and Learning for Active Sensing‚ Experimental Design and Control
by: Kueck, H, et al.
Published: (2009)

Hierarchical Bayesian estimation for stationary autoregressive models using reversible jump MCMC algorithm
by: Suparman, S., et al.
Published: (2018)

Bayesian detection of signal under Rayleigh multiplicative noise based on reversible jump MCMC
by: Suparman, Suparman, et al.
Published: (2022)

Anisotropic Reversible‐Jump McMC Shear‐Velocity Tomography of the Eastern Alpine Crust
by: E. D. Kästle, et al.
Published: (2024-03-01)

Hierarchical Bayesian Choice of Laplacian ARMA Models Based on Reversible Jump MCMC Computation
by: Suparman
Published: (2020-03-01)

Inference and Learning for Active Sensing, Experimental Design and Control
by: Kueck, H, et al.
Published: (2009)

On solving a Stochastic Shortest-Path Markov Decision Process as probabilistic inference
by: Baioumy, M, et al.
Published: (2022)

An Expectation Maximization Algorithm for Continuous Markov Decision Processes with Arbitrary Reward
by: Hoffman, M, et al.
Published: (2009)

An expectation maximization algorithm for continuous Markov decision processes with arbitrary rewards
by: Hoffman, M, et al.
Published: (2009)

An Introduction to MCMC for Machine Learning
by: Andrieu, C, et al.
Published: (2003)

An introduction to MCMC for machine learning
by: Andrieu, C, et al.
Published: (2003)

Sequential MCMC for Bayesian model selection
by: Andrieu, C, et al.
Published: (1999)

Non-reversible parallel tempering: a scalable highly parallel MCMC scheme
by: Syed, S, et al.
Published: (2021)

Inference of demographic history from genealogical trees using reversible jump Markov chain Monte Carlo
by: Fahrmeir Ludwig, et al.
Published: (2005-01-01)

Sequential MCMC for Bayesian model selection
by: Andrieu, C, et al.
Published: (1999)

Model selection by MCMC computation
by: Andrieu, C, et al.
Published: (2001)

Parallel and distributed MCMC inference using Julia
by: Yu, Angel
Published: (2018)

ggmcmc: Analysis of MCMC Samples and Bayesian Inference
by: Xavier Fernández-i-Marín
Published: (2016-05-01)

MCMC algorithm based on Markov random field in image segmentation
by: Huazhe Wang, et al.
Published: (2024-01-01)

MCMC algorithm based on Markov random field in image segmentation.
by: Huazhe Wang, et al.
Published: (2024-01-01)

Iterative algorithms for state estimation of jump Markov linear systems
by: Doucet, A, et al.
Published: (2001)

Limit theorems for sequential MCMC methods
by: Finke, A, et al.
Published: (2020)

Particle filters for state estimation of jump Markov linear systems
by: Doucet, A, et al.
Published: (2001)

Uma abordagem bayesiana para o mapeamento de QTLS utilizando o método MCMC com saltos reversíveis A bayesian approach to map QTLs using reversible jump MCMC
by: Joseane Padilha da Silva, et al.
Published: (2009-08-01)

Population-based reversible jump Markov chain Monte Carlo
by: Jasra, A, et al.
Published: (2007)

Efficient MCMC inference for remote sensing of emission sources
by: Dean, Christopher L. (Christopher Lee)
Published: (2015)

Efficient MCMC inference for material detection and classification In tomography
by: Khojandi, Aryan Iden.
Published: (2018)

An efficient interpolation technique for jump proposals in reversible-jump Markov chain Monte Carlo calculations
by: Farr, W. M., et al.
Published: (2016)

Variational MCMC
by: de Freitas, N, et al.
Published: (2001)

Framework for solving time-delayed Markov Decision Processes
by: Yorgo Sawaya, et al.
Published: (2023-07-01)