Abstract: In this paper, we consider the problem of unmanned aerial vehicle (UAV) path planning. The traditional path planning algorithm has the problems of low efficiency and poor adaptability, so ...

In tactical communication networks, highly dynamic topologies and frequent data exchanges create complex spatiotemporal dependencies among link states. However, most existing intelligent routing ...

Learn the Adagrad optimization algorithm, how it works, and how to implement it from scratch in Python for machine learning models. #Adagrad #Optimization #Python Trump administration looking to sell ...

Cryptography secures communication in banking, messaging, and blockchain. Good algorithms (AES, RSA, ECC, SHA-2/3, ChaCha20) are secure, efficient, and widely trusted. Bad algorithms (DES, MD5, SHA-1, ...

Developed an AWS DeepRacer model using Python & the PPO algorithm, leveraging TensorFlow to train & fine-tune a deep reinforcement learning model. Designed a custom reward function & optimized ...

Abstract: In order to solve the problems of slow convergence speed of the traditional deep reinforcement learning proximal strategy optimization (PPO) algorithm, an RPPO algorithm for continuous robot ...