Markov Decision Processes: Discrete Stochastic Dynamic Programming
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Minimax Control of Discrete-Time Stochastic Systems
SIAM Journal on Control and Optimization
Brief Minimax controller design for a class of uncertain linear systems
Automatica (Journal of IFAC)
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The paper deals with a class of semi-Markov control models with Borel state and control spaces and possibly unbounded costs, where the holding times distribution F depends on an unknown and possibly non-observable parameter which may change from stage to stage. The system is modeled as a game against nature, which is a particular case of a minimax control system. The objective is to show the existence of minimax strategies under the discounted and average cost criteria.