Dynamic optimization and optimal control problems form the backbone of numerous applications in engineering, economics and the natural sciences. These methodologies involve determining a time-varying ...

We introduce a novel approach to solving dynamic programming problems, such as those in many economic models, on a quantum annealer, a specialized device that performs combinatorial optimization.

This course covers reinforcement learning aka dynamic programming, which is a modeling principle capturing dynamic environments and stochastic nature of events. The main goal is to learn dynamic ...

This is a preview. Log in through your library . Abstract Discrete time Markov decision processes with a countable state space are investigated. Under a condition of Liapunov function type the Laurent ...

Mathematics of Operations Research publishes articles concerned with mathematical and computational foundations of operations research, including optimization, mathematical and dynamic programming, ...