Image de couverture de livre

Driver Fatigue Prediction using Randomly Activated Neural Networks for Smart Ridesharing Platforms

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Akula, Sree Pooja, Telukunta, Mukund, Nadendla, Venkata Sriram Siddhardh
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Multiagent Systems
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Fairness Perceptions in Regression-based Predictive Models
par: Telukunta, Mukund, et autres
Publié: (2025)

Learning Social Fairness Preferences from Non-Expert Stakeholder Opinions in Kidney Placement
par: Telukunta, Mukund, et autres
Publié: (2024)

Few-Shot Transfer Learning for Individualized Braking Intent Detection on Neuromorphic Hardware
par: Lutes, Nathan, et autres
Publié: (2024)

Sustainable Smart Farm Networks: Enhancing Resilience and Efficiency with Decision Theory-Guided Deep Reinforcement Learning
par: Chen, Dian, et autres
Publié: (2025)

Fast Neural-Network Approximation of Active Target Search Under Uncertainty
par: Yousuf, Bilal, et autres
Publié: (2026)

Self-Evolving Multi-Agent Network for Industrial IoT Predictive Maintenance
par: Saleh, Rebin, et autres
Publié: (2026)

Generalising Travel Time Prediction To Varying Route Choices In Urban Networks
par: Gorczyca, Łukasz, et autres
Publié: (2026)

Multi-Agent Reinforcement Learning for Sample-Efficient Deep Neural Network Mapping
par: Krishnan, Srivatsan, et autres
Publié: (2025)

G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks
par: Zhang, Guibin, et autres
Publié: (2024)

Neural Network-Based Parameter Estimation of a Labour Market Agent-Based Model
par: Alves, M Lopes, et autres
Publié: (2026)

Better Prevent than Tackle: Valuing Defense in Soccer Based on Graph Neural Networks
par: Kim, Hyunsung, et autres
Publié: (2025)

Multi-Agent Training-free Urban Food Delivery System using Resilient UMST Network
par: Hasan, Md Nahid, et autres
Publié: (2026)

Self-Creating Random Walks for Decentralized Learning under Pac-Man Attacks
par: Chen, Xingran, et autres
Publié: (2026)

Generalisable Agents for Neural Network Optimisation
par: Tessera, Kale-ab, et autres
Publié: (2023)

MAexp: A Generic Platform for RL-based Multi-Agent Exploration
par: Zhu, Shaohao, et autres
Publié: (2024)

Conformal Off-Policy Prediction for Multi-Agent Systems
par: Kuipers, Tom, et autres
Publié: (2024)

Probabilistic Multi-Agent Aircraft Landing Time Prediction
par: Kim, Kyungmin, et autres
Publié: (2025)

TranSimHub:A Unified Air-Ground Simulation Platform for Multi-Modal Perception and Decision-Making
par: Wang, Maonan, et autres
Publié: (2025)

Improving the Prediction of Individual Engagement in Recommendations Using Cognitive Models
par: Seow, Roderick, et autres
Publié: (2024)

Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion Prediction
par: Jiang, Wenzhao, et autres
Publié: (2024)

ARMove: Learning to Predict Human Mobility through Agentic Reasoning
par: Wang, Chuyue, et autres
Publié: (2026)

Anomaly Detection in Networked Bandits
par: Cheng, Xiaotong, et autres
Publié: (2025)

Beyond Predictions: A Participatory Framework for Multi-Stakeholder Decision-Making
par: Vineis, Vittoria, et autres
Publié: (2025)

Distributed Networked Multi-task Learning
par: Hong, Lingzhou, et autres
Publié: (2024)

Human-Flow Digital Twin for Predicting the Effects of Mobility Introduction on Visitor Circulation
par: Shima, Chiharu, et autres
Publié: (2026)

MAGNNET: Multi-Agent Graph Neural Network-based Efficient Task Allocation for Autonomous Vehicles with Deep Reinforcement Learning
par: Ratnabala, Lavanya, et autres
Publié: (2025)

Double Distillation Network for Multi-Agent Reinforcement Learning
par: Zhou, Yang, et autres
Publié: (2025)

Pairwise is Not Enough: Hypergraph Neural Networks for Multi-Agent Pathfinding
par: Jain, Rishabh, et autres
Publié: (2026)

Graph Attention Inference of Network Topology in Multi-Agent Systems
par: Kolli, Akshay, et autres
Publié: (2024)

A Tensor Network Implementation of Multi Agent Reinforcement Learning
par: Howard, Sunny
Publié: (2024)

Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning
par: Zhang, Zhiyao, et autres
Publié: (2025)

Adaptive Requesting in Decentralized Edge Networks via Non-Stationary Bandits
par: Zhuang, Yi, et autres
Publié: (2026)

Bayesian Ego-graph Inference for Networked Multi-Agent Reinforcement Learning
par: Duan, Wei, et autres
Publié: (2025)

Heterogeneous Multi-agent Collaboration in UAV-assisted Mobile Crowdsensing Networks
par: Deng, Xianyang, et autres
Publié: (2025)

Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems
par: Suau, Miguel, et autres
Publié: (2022)

Modal Logical Neural Networks
par: Sulc, Antonin
Publié: (2025)

Hybrid Agentic AI and Multi-Agent Systems in Smart Manufacturing
par: Farahani, Mojtaba A., et autres
Publié: (2025)

Adaptive Swarm Mesh Refinement using Deep Reinforcement Learning with Local Rewards
par: Freymuth, Niklas, et autres
Publié: (2024)

Joint Pedestrian and Vehicle Traffic Optimization in Urban Environments using Reinforcement Learning
par: Poudel, Bibek, et autres
Publié: (2025)

STAGED: A Multi-Agent Neural Network for Learning Cellular Interaction Dynamics
par: Rocha, Joao F., et autres
Publié: (2025)