Results 61 to 70 of about 7,880,220 (196)
Constrained optimality problem of Markov decision processes with Borel spaces and varying discount factors [PDF]
, 2021 summary:This paper focuses on the constrained optimality of discrete-time Markov decision processes (DTMDPs) with state-dependent discount factors, Borel state and compact Borel action spaces, and possibly unbounded costs.
Wu, Xiao, Tang, Yanqiu
core +1 more source
Bounded-parameter Markov decision processes
Artificial Intelligence, 1997 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Robert Givan +2 more
openaire +1 more source
Factored Beliefs for Machine Agents in Decentralized Partially Observable Markov Decision Processes
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022 A shared mental model (SMM) is a foundational structure in high performing, task-oriented teams and aid humans in determining their teammate's goals and intentions.
Joshua Lapso, Gilbert Peterson
doaj +1 more source
Limit Synchronization in Markov Decision Processes [PDF]
, 2014 Markov decision processes (MDP) are finite-state systems with both strategic and probabilistic choices. After fixing a strategy, an MDP produces a sequence of probability distributions over states. The sequence is eventually synchronizing if the probability mass accumulates in a single state, possibly in the limit.
Doyen, Laurent +2 more
openaire +4 more sources
One-Counter Markov Decision Processes [PDF]
Proceedings of the Twenty-First Annual ACM-SIAM Symposium on Discrete Algorithms, 2010 Updated preliminary version, submitted to ...
T. Brazdil +4 more
openaire +6 more sources
A New Decision Support Framework for Managing Foot-and-mouth Disease Epidemics [PDF]
, 2014 Animal disease epidemics such as the foot-and-mouth disease (FMD) pose recurrent threat to countries with intensive livestock production. Efficient FMD control is crucial in limiting the damage of FMD epidemics and securing food production.
Mourits, Monique C. +7 more
core +1 more source
Frontiers in Computational Neuroscience, 2010 A fundamental problem faced by animals is learning to select actions based on noisy sensory information and incomplete knowledge of the world. It has been suggested that the brain engages in Bayesian inference during perception but how such probabilistic
Rajesh P N Rao
doaj +1 more source
Modeling Local Search Metaheuristics Using Markov Decision Processes
AlgorithmsLocal search metaheuristics like tabu search or simulated annealing are popular heuristic optimization algorithms for finding near-optimal solutions for combinatorial optimization problems.
Rubén Ruiz-Torrubiano +3 more
doaj +1 more source
Robust Synchronization in Markov Decision Processes [PDF]
, 2014 We consider synchronizing properties of Markov decision processes (MDP), viewed as generators of sequences of probability distributions over states. A probability distribution is p-synchronizing if the probability mass is at least p in some state, and a sequence of probability distributions is weakly p-synchronizing, or strongly p-synchronizing if ...
Doyen, Laurent +2 more
openaire +4 more sources
Regret based Robust Solutions for Uncertain Markov Decision Processes [PDF]
, 2013 In this paper, we seek robust policies for uncertain Markov Decision Processes (MDPs). Most robust optimization approaches for these problems have focussed on the computation of {\em maximin} policies which maximize the value corresponding to the worst ...
Varakantham, Pradeep +8 more
core