Image de couverture de livre

Reinforcement Learning for Sociohydrology

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Roy, Tirthankar, Srivastava, Shivendra, Zhang, Beichen
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Computers and Society
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Fairness in Reinforcement Learning with Bisimulation Metrics
par: Rezaei-Shoshtari, Sahand, et autres
Publié: (2024)

Exploring Natural Language-Based Strategies for Efficient Number Learning in Children through Reinforcement Learning
par: Mittra, Tirthankar
Publié: (2024)

Opportunities of Reinforcement Learning in South Africa's Just Transition
par: Formanek, Claude, et autres
Publié: (2024)

Making Bias Non-Predictive: Training Robust LLM Reasoning via Reinforcement Learning
par: Wang, Qian, et autres
Publié: (2026)

Data Acquisition for Improving Model Fairness using Reinforcement Learning
par: Hasan, Jahid, et autres
Publié: (2024)

Quantum-Enhanced Forecasting for Deep Reinforcement Learning in Algorithmic Trading
par: Chen, Jun-Hao, et autres
Publié: (2025)

Can Large Language Models Unlock Novel Scientific Research Ideas?
par: Kumar, Sandeep, et autres
Publié: (2024)

FairBranch: Mitigating Bias Transfer in Fair Multi-task Learning
par: Roy, Arjun, et autres
Publié: (2023)

Balancing the Scales: Reinforcement Learning for Fair Classification
par: Eshuijs, Leon, et autres
Publié: (2024)

Deep Reinforcement Learning Empowered Activity-Aware Dynamic Health Monitoring Systems
par: Ye, Ziqiaing, et autres
Publié: (2024)

Predicting and Understanding College Student Mental Health with Interpretable Machine Learning
par: Chowdhury, Meghna Roy, et autres
Publié: (2025)

Test-Time Learning and Inference-Time Deliberation for Efficiency-First Offline Reinforcement Learning in Care Coordination and Population Health Management
par: Basu, Sanjay, et autres
Publié: (2025)

A Game-Theoretic Spatio-Temporal Reinforcement Learning Framework for Collaborative Public Resource Allocation
par: Lei, Songxin, et autres
Publié: (2025)

SmartPathfinder: Pushing the Limits of Heuristic Solutions for Vehicle Routing Problem with Drones Using Reinforcement Learning
par: Imran, Navid Mohammad, et autres
Publié: (2024)

Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing
par: Wang, Jitao, et autres
Publié: (2025)

Continuous Pupillography: A Case for Visual Health Ecosystem
par: Younus, Usama, et autres
Publié: (2024)

Monitoring Fidelity of Online Reinforcement Learning Algorithms in Clinical Trials
par: Trella, Anna L., et autres
Publié: (2024)

Enhancing Safety in Reinforcement Learning with Human Feedback via Rectified Policy Optimization
par: Peng, Xiyue, et autres
Publié: (2024)

Ontology-driven Reinforcement Learning for Personalized Student Support
par: Hare, Ryan, et autres
Publié: (2024)

EduGym: An Environment and Notebook Suite for Reinforcement Learning Education
par: Moerland, Thomas M., et autres
Publié: (2023)

What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning
par: Deng, Zhihong, et autres
Publié: (2024)

Long-Term Fairness in Sequential Multi-Agent Selection with Positive Reinforcement
par: Puranik, Bhagyashree, et autres
Publié: (2024)

MMM-fair: An Interactive Toolkit for Exploring and Operationalizing Multi-Fairness Trade-offs
par: Swati, Swati, et autres
Publié: (2025)

Detecting Struggling Student Programmers using Proficiency Taxonomies
par: Schwartz, Noga, et autres
Publié: (2025)

Urban context and delivery performance: Modelling service time for cargo bikes and vans across diverse urban environments
par: Schrader, Maxwell, et autres
Publié: (2024)

FairEM360: A Suite for Responsible Entity Matching
par: Shahbazi, Nima, et autres
Publié: (2024)

Advance Real-time Detection of Traffic Incidents in Highways using Vehicle Trajectory Data
par: Roy, Sudipta, et autres
Publié: (2024)

RELEAP: Reinforcement-Enhanced Label-Efficient Active Phenotyping for Electronic Health Records
par: Yang, Yang, et autres
Publié: (2025)

Optimizing HIV Patient Engagement with Reinforcement Learning in Resource-Limited Settings
par: Periáñez, África, et autres
Publié: (2024)

Integrating Reason-Based Moral Decision-Making in the Reinforcement Learning Architecture
par: Dargasz, Lisa
Publié: (2025)

Empowering Epidemic Response: The Role of Reinforcement Learning in Infectious Disease Control
par: Liu, Mutong, et autres
Publié: (2026)

Earth Embeddings Reveal Diverse Urban Signals from Space
par: Gong, Wenjing, et autres
Publié: (2026)

A Mixed-Methods Analysis of Repression and Mobilization in Bangladesh's July Revolution Using Machine Learning and Statistical Modeling
par: Siddiqui, Md. Saiful Bari, et autres
Publié: (2025)

Debiasing Graph Representation Learning based on Information Bottleneck
par: Zhang, Ziyi, et autres
Publié: (2024)

Distribution-Free Fair Federated Learning with Small Samples
par: Yin, Qichuan, et autres
Publié: (2024)

Comparative Analysis of Multi-Agent Reinforcement Learning Policies for Crop Planning Decision Support
par: Mahajan, Anubha, et autres
Publié: (2024)

A Fairness-Oriented Reinforcement Learning Approach for the Operation and Control of Shared Micromobility Services
par: Cederle, Matteo, et autres
Publié: (2024)

DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis
par: Yang, Shangshang, et autres
Publié: (2024)

Carbon Emission Prediction in China Considering New Quality Productive Forces Using a Deep & Corss Learning Modeling Framework
par: Xie, Haijin, et autres
Publié: (2025)

Training Fair Models in Federated Learning without Data Privacy Infringement
par: Che, Xin, et autres
Publié: (2021)