A Notation for Markov Decision Processes Philip S. Thomas Carnegie Mellon University arXiv:1512.09075v1 [cs.AI] 30 Dec 2015

Source URL: arxiv.org

Bioinformatics, 31, 2015, i190–i196 doi: bioinformatics/btv239 ISMB/ECCB 2015 Inferring parental genomic ancestries using pooled semi-Markov processes

Source URL: www.cs.tau.ac.il

arXiv:1509.05808v1 [cs.CL] 18 SepWord, graph and manifold embedding from Markov processes Tatsunori B. Hashimoto MIT CSAIL

Source URL: arxiv.org

Metastability in Markov processes H Larralde, F Leyvraz and D P Sanders Centro de Ciencias F´ısicas, UNAM, Apartado postal 48-3, C.P, Cuernavaca, Morelos, Mexico E-mail: , a

Source URL: sistemas.fciencias.unam.mx

MOMENT GENERATING FUNCTIONS FOR LOCAL TIMES OF SYMMETRIC MARKOV PROCESSES AND RANDOM WALKS Michael B. Marcus and Jay Rosen 1. Introduction. We obtain moment generating functions for the local times of strongly symmetric

Source URL: www.math.csi.cuny.edu

Conjugate Markov Decision Processes Philip S. Thomas Andrew G. Barto

Source URL: psthomas.com

Process algebra and Markov processes The nature of synchronisation Equivalence relations Case study: active badges Summary From Markov to Milner and back: Stochastic process algebras Jane Hillston School of Informatics

Source URL: homepages.inf.ed.ac.uk

Online Development of Assistive Robot Behaviors for Collaborative Manipulation and Human-Robot Teamwork Bradley Hayes and Brian Scassellati Yale University Computer Science Department New Haven, CT 06511

Source URL: bradhayes.info

• Artificial intelligence
• Robotics
• Dynamic programming
• Markov processes
• Stochastic control
• Machine learning
• Probability theory
• Probability
• Partially observable Markov decision process
• Humanoid robot
• Reinforcement learning
• Humanrobot interaction

RANDOM-PLAYER GAMES* Igal Milchtaich Department of Economics, Bar-Ilan University, Ramat Gan 52900, Israel Email: Web: http://faculty.biu.ac.il/~milchti Abstract. This paper introduces general g

Source URL: faculty.biu.ac.il

• Mathematical analysis
• Probability
• Stochastic processes
• Probability theory
• Lvy processes
• Markov processes
• Poisson point process
• Random element
• Probability distribution
• Point process
• Random variable
• Measure

Mean Field Variational Approximations in Continuous-Time Markov Processes A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science

Source URL: www.cs.huji.ac.il

• Bayesian statistics
• Statistics
• Graphical models
• Probability
• Markov models
• Bayesian network
• Probability distribution
• Markov chain
• Expectation propagation
• Approximate inference
• Likelihood function
• Hidden Markov model