Clean, documented implementations of PPO-based algorithms for cooperative multi-agent reinforcement learning, focusing on SMAC environments. Features MLP and RNN-based MAPPO with various normalization ...

This project implements a simple RNN-based Question Answering (QA) system using PyTorch. It demonstrates the process of extracting answers from a given context based on a question, using sequence ...

Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=8016794 ...

PyTorch is an open-source machine learning framework developed by Facebook's AI Research lab (now Meta). It is known for its dynamic computational graph, which allows for flexible and efficient ...

Computational Efficiency,Deep Learning,Deep Learning Models,Dependability,EEG Data,EEG Patterns,EEG Signals,Early Treatment,Epileptic Patients,False Alarm,False Alarm Rate,Long Short-term Memory,Long ...

A significant challenge for this problem is the lack of high-resolution data that indicates hesitancy. Here, we develop a hybrid VaxHesSTL framework that combines a Graph Neural Network (GNN) and a ...