In this paper we develop a discretized version of the dynamic programming algorithm and study its convergence and stability properties. We show that the computed value function converges quadratically ...

It covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms. It concludes with a brief introduction to intractability (NP-completeness) .

A novel two-stage Track-Before-Detect (TbD) method has been developed to significantly improve the detection of weak moving ...

The project required bringing together years of research in approximate dynamic programming, merging math programming with machine learning, to solve dynamic programs with extremely high-dimensional ...

Dynamic Programming and Optimal Control 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 ...

Dynamic programming Limitations of model-based control Introduction to Reinforcement Learning The basic Q-Learning algorithm Exploration-exploitation trade-off, short-term long-term reward ...

Seeking to reduce the computing power needed for the widely used dynamic mode decomposition algorithm, a team of researchers in China led by Guo-Ping Guo developed a quantum-classical hybrid ...

2. Explosive Mathematical Ability!80% of the problems in algorithm competitions are related to mathematics, covering various topics such as dynamic programming and graph theory. Learning algorithms is ...