Abstract: This research article presents a comparison between two mainstream Deep Reinforcement Learning (DRL) algorithms, Asynchronous Advantage Actor-Critic (A3C) and Proximal Policy Optimization ...

Objective: To develop a self-reportable risk assessment tool for elderly type 2 diabetes mellitus (T2DM) patients, evaluating risks of diabetic nephropathy (DN), retinopathy (DR), peripheral ...

The Grammy winner believes artists have no clear path to reach the masses In the 3.5-minute clip, the multiple Grammy Award winner begins by saying the industry is in “complete shambles right now.” ...

Abstract: Despite the widespread use of established optimization algorithms like Non-Dominated Sorting Genetic Algorithm-II (NSGA-II), Non-Dominated Sorting Genetic Algorithm-III (NSGA-III), and Multi ...

It can take weeks to write a grant proposal, so how would it feel to have a machine reject it in seconds? Researchers in Spain have been finding out, after a major funding foundation in the country ...

Apple is set to unveil the iPhone 17 series in just five days from now, and last-minute rumors about the devices continue to surface. The latest word comes from Taiwanese market research firm ...

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms—addressing a ...

. ├── ppo.py # Core PPO implementation ├── demonstrations/ # Example implementations │ ├── cartpole_demo.py │ ├── lunar_lander_demo.py │ └── README.md ├── requirements.txt # Project dependencies └── ...

Quantum computers promise enormous computational power, but the nature of quantum states makes computation and data inherently "noisy." Rice University computer scientists have developed algorithms ...

area-networkingIncludes servers, yarp, json patch, bedrock, websockets, http client factory, and http abstractionsIncludes servers, yarp, json patch, bedrock, websockets, http client factory, and http ...