WEAK EQUIVALENCE OF STATIONARY ACTIONS AND THE ENTROPY REALIZATION PROBLEM PETER BURTON, MARTINO LUPINI, AND OMER TAMUZ Abstract. We initiate the study of weak containment and weak equivalence for µ-stationary actions f

Source URL: people.hss.caltech.edu

• Mathematical analysis
• Mathematics
• Measure theory
• Stochastic processes
• Compactification
• Harmonic analysis
• Poisson boundary
• Equivalence relation
• Equivalence of categories
• Von Neumann algebra
• Amenable group
• Equivalence

MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Truncated Approximate Dynamic Programming with Task-Dependent Terminal Value Farahmand, A.-M.; Nikovski, D.N.; Igarashi, Y.; Konaka, H.

Source URL: www.merl.com

• Mathematical optimization
• Operations research
• Dynamic programming
• Markov processes
• Stochastic control
• Markov decision process
• Reinforcement learning
• Convolution
• Optimal control
• Q-learning

Cognitive Science–618 Copyright © 2014 Cognitive Science Society, Inc. All rights reserved. ISSN: printonline DOI: cogsInferring Learners’ Knowledge From Their Ac

Source URL: cocosci.berkeley.edu

• Dynamic programming
• Markov processes
• Stochastic control
• Cognitive science
• Probability theory
• Markov decision process
• Reinforcement learning
• Theory of mind
• Probability
• Psychology
• Cognition

Upsetting the contingency table: Causal induction over sequences of point events Michael D. Pacer () Thomas L. Griffiths (tom ) Department of Psychology, 3210 Tolman Hall Berkeley

Source URL: cocosci.berkeley.edu

• Mathematical analysis
• Probability
• Statistics
• Poisson processes
• Probability distributions
• Infinitely divisible probability distributions
• Stochastic processes
• Philosophy of science
• Poisson distribution
• Poisson point process
• Exponential distribution
• Causality

Targeting Specific Distributions of Trajectories in MDPs∗ David L. Roberts1 , Mark J. Nelson1 , Charles L. Isbell, Jr.1 , Michael Mateas1 , Michael L. Littman2 1 2

Source URL: www.kmjn.org

• Dynamic programming
• Markov processes
• Stochastic control
• Belief revision
• Reinforcement learning
• Markov decision process
• Probability distribution

Geometry of Stochastic Processes Michel Talagrand University of Paris VI and CNRS

Source URL: www.6ecm.pl

Chao-Yuan Wu | | http://chaoyuan.org RESEARCH INTERESTS Statistical machine learning, neural netwoks, and recommender systems.

Source URL: www.andrew.cmu.edu

• Stochastic processes
• Recommender system
• Dirichlet process
• Machine learning

The Dynamics of Distributions in Continuous-Time Stochastic Models (a) Christian Bayer(a) and Klaus Wälde(b) WeierstraßInstitute Berlin and (b) Johannes-Gutenberg University Mainz1

Source URL: www.waelde.com

• Stochastic processes
• Markov chain
• FokkerPlanck equation
• Markov process
• Markov kernel
• Probability distribution
• Brownian motion
• It diffusion
• Bellman equation

Cognitive Science–43 Copyright © 2015 Cognitive Science Society, Inc. All rights reserved. ISSN: printonline DOI: cogsFaster Teaching via POMDP Planning

Source URL: cocosci.berkeley.edu

• Dynamic programming
• Markov processes
• Stochastic control
• Partially observable Markov decision process
• Educational psychology
• Educational technology
• Automated planning and scheduling
• Markov decision process
• Concept learning
• Intelligent tutoring system

Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees Joseph E. Gonzalez Carnegie Mellon University

Source URL: select.cs.cmu.edu

• Graphical models
• Markov models
• Probability theory
• Ergodic theory
• Stochastic processes
• Gibbs sampling
• Markov chain
• Ergodicity
• Hidden Markov model
• Mixing
• Graph coloring
• Markov random field