However, the traditional Q-Learning algorithm lacks the iteration stability and computational efficiency required in high-dynamic scenarios, and the shortest paths found often fail to meet the ...

In particular, RNA folding – a classic application of dynamic programming – utilises recurrence relations to predict the most stable secondary structures based on base-pair interactions.

With the observation that many genomics kernels are dominated by dynamic programming (DP) algorithms, this paper presents GenDP, a framework of dynamic programming acceleration including DPAx, a DP ...

In this module, you will learn about dynamic programming as a design principle for algorithms. We will provide a step-by-step approach to formulating a problem as a dynamic program and solving these ...

The team designed a fully dynamic APSP algorithm in the MPC model with low round complexity that is faster than all the existing static parallel APSP algorithms.

Introduction and Purpose: This page is maintained by Mike Scott, scottm@cs.utexas.edu. It is designed for students who have been admitted to the Turing Scholars program at the Computer Science ...

CSCA 5414: Dynamic Programming, Greedy Algorithms CSCA 5414: Dynamic Programming, Greedy Algorithms Get a head start on program admission Preview this course in the non-credit experience today! Start ...