Copertina

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wang, Zhaoan, Jang, Wonseok, Ruan, Bowen, Wang, Jun, Xiao, Shaoping
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Intelligent Agricultural Management Considering N$_2$O Emission and Climate Variability with Uncertainties
di: Wang, Zhaoan, et al.
Pubblicazione: (2024)

Multi-Objective Reinforcement Learning for Water Management
di: Osika, Zuzanna, et al.
Pubblicazione: (2025)

Learning-based agricultural management in partially observable environments subject to climate variability
di: Wang, Zhaoan, et al.
Pubblicazione: (2024)

STEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement Learning
di: Shao, Wei, et al.
Pubblicazione: (2024)

Protein-Conditioned Multi-Objective Reinforcement Learning for Full-Length mRNA Design
di: Shao, Zixi, et al.
Pubblicazione: (2026)

Interpretability by Design for Efficient Multi-Objective Reinforcement Learning
di: Xia, Qiyue, et al.
Pubblicazione: (2025)

Reinforcement learning with timed constraints for robotics motion planning
di: Wang, Zhaoan, et al.
Pubblicazione: (2025)

Trust Your Memory: Verifiable Control of Smart Homes through Reinforcement Learning with Multi-dimensional Rewards
di: Guo, Kai-Yuan, et al.
Pubblicazione: (2026)

Sample-Efficient Reinforcement Learning with Temporal Logic Objectives: Leveraging the Task Specification to Guide Exploration
di: Kantaros, Yiannis, et al.
Pubblicazione: (2024)

OMS: On-the-fly, Multi-Objective, Self-Reflective Ad Keyword Generation via LLM Agent
di: Chen, Bowen, et al.
Pubblicazione: (2025)

FairDICE: Fairness-Driven Offline Multi-Objective Reinforcement Learning
di: Kim, Woosung, et al.
Pubblicazione: (2025)

Reinforcement Learning for Multi-Objective Multi-Echelon Supply Chain Optimisation
di: Rachman, Rifny, et al.
Pubblicazione: (2025)

Demonstration Guided Multi-Objective Reinforcement Learning
di: Lu, Junlin, et al.
Pubblicazione: (2024)

Multi-Objective Deep Reinforcement Learning for Optimisation in Autonomous Systems
di: Rosero, Juan C., et al.
Pubblicazione: (2024)

Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning
di: Gu, Shangding, et al.
Pubblicazione: (2024)

TREX: Trajectory Explanations for Multi-Objective Reinforcement Learning
di: Rajapakse, Dilina, et al.
Pubblicazione: (2026)

Towards Intelligent Urban Park Development Monitoring: LLM Agents for Multi-Modal Information Fusion and Analysis
di: Xiao, Zixuan, et al.
Pubblicazione: (2026)

Transforming Agriculture with Intelligent Data Management and Insights
di: Pan, Yu, et al.
Pubblicazione: (2023)

TRUST-SQL: Tool-Integrated Multi-Turn Reinforcement Learning for Text-to-SQL over Unknown Schemas
di: Jian, Ai, et al.
Pubblicazione: (2026)

An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning
di: Lin, Qian, et al.
Pubblicazione: (2024)

In Search for Architectures and Loss Functions in Multi-Objective Reinforcement Learning
di: Terekhov, Mikhail, et al.
Pubblicazione: (2024)

Trust, Don't Trust, or Flip: Robust Preference-Based Reinforcement Learning with Multi-Expert Feedback
di: Hosseini, Seyed Amir, et al.
Pubblicazione: (2026)

Polychromic Objectives for Reinforcement Learning
di: Hamid, Jubayer Ibn, et al.
Pubblicazione: (2025)

MORSE: Multi-Objective Reinforcement Learning via Strategy Evolution for Supply Chain Optimization
di: Kotecha, Niki, et al.
Pubblicazione: (2025)

REMOR: Automated Peer Review Generation with LLM Reasoning and Multi-Objective Reinforcement Learning
di: Taechoyotin, Pawin, et al.
Pubblicazione: (2025)

Scalable Multi-Objective and Meta Reinforcement Learning via Gradient Estimation
di: Zhang, Zhenshuo, et al.
Pubblicazione: (2025)

Navigating Trade-offs: Policy Summarization for Multi-Objective Reinforcement Learning
di: Osika, Zuzanna, et al.
Pubblicazione: (2024)

Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML
di: Deutel, Mark, et al.
Pubblicazione: (2023)

MODULI: Unlocking Preference Generalization via Diffusion Models for Offline Multi-Objective Reinforcement Learning
di: Yuan, Yifu, et al.
Pubblicazione: (2024)

Thinking Forward and Backward: Multi-Objective Reinforcement Learning for Retrieval-Augmented Reasoning
di: Wei, Wenda, et al.
Pubblicazione: (2025)

Diffusion Policies creating a Trust Region for Offline Reinforcement Learning
di: Chen, Tianyu, et al.
Pubblicazione: (2024)

Optimistic Reinforcement Learning with Quantile Objectives
di: Alipour-Vaezi, Mohammad, et al.
Pubblicazione: (2025)

AgentRL: Scaling Agentic Reinforcement Learning with a Multi-Turn, Multi-Task Framework
di: Zhang, Hanchen, et al.
Pubblicazione: (2025)

A Meta-Learning Approach for Multi-Objective Reinforcement Learning in Sustainable Home Environments
di: Lu, Junlin, et al.
Pubblicazione: (2024)

OptiGradTrust: Byzantine-Robust Federated Learning with Multi-Feature Gradient Analysis and Reinforcement Learning-Based Trust Weighting
di: Karami, Mohammad, et al.
Pubblicazione: (2025)

Multi-Objective Reinforcement Learning for Power Grid Topology Control
di: Lautenbacher, Thomas, et al.
Pubblicazione: (2025)

Deep Multi-Objective Reinforcement Learning for Utility-Based Infrastructural Maintenance Optimization
di: van Remmerden, Jesse, et al.
Pubblicazione: (2024)

Hindsight Preference Replay Improves Preference-Conditioned Multi-Objective Reinforcement Learning
di: Shianifar, Jonaid, et al.
Pubblicazione: (2026)

The Max-Min Formulation of Multi-Objective Reinforcement Learning: From Theory to a Model-Free Algorithm
di: Park, Giseung, et al.
Pubblicazione: (2024)

Multimodal Agricultural Agent Architecture (MA3): A New Paradigm for Intelligent Agricultural Decision-Making
di: Xu, Zhuoning, et al.
Pubblicazione: (2025)