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 ...

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 ...

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 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 ...

Dynamic Programming and Optimal Control is offered within DMAVT and attracts in excess of 300 students per year from a wide variety of disciplines. It is an integral part of the Robotics, System and ...

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

In addition to other methods we’ve discussed, a third type of variable spending model uses dynamic programming methods. These methods rely on complex computing power and mathematical equations to ...

NVidia's Denver architecture is implementing ARM's ARMv8 64-bit architecture from the ground up using techniques like dynamic code optimization. NVidia often takes an interesting approach with its ...