On-Time Delivery in Crowdshipping Systems: An Agent-Based Approach Using Streaming Data
Fuente:
arXiv
Saved in:
| Main Authors: | Dötterl, Jeremias, Bruns, Ralf, Dunkel, Jürgen, Ossowski, Sascha |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Evaluating Collaborative and Autonomous Agents in Data-Stream-Supported Coordination of Mobile Crowdsourcing
by: Bruns, Ralf, et al.
Published: (2024)
by: Bruns, Ralf, et al.
Published: (2024)
Stream-based perception for cognitive agents in mobile ecosystems
by: Dötterl, Jeremias, et al.
Published: (2024)
by: Dötterl, Jeremias, et al.
Published: (2024)
Sequence Pathfinder for Multi-Agent Pickup and Delivery in the Warehouse
by: Zhao, Zeyuan, et al.
Published: (2025)
by: Zhao, Zeyuan, et al.
Published: (2025)
Reinforced Agent: Inference-Time Feedback for Tool-Calling Agents
by: Ta, Anh, et al.
Published: (2026)
by: Ta, Anh, et al.
Published: (2026)
Active Learning for Communication Structure Optimization in LLM-Based Multi-Agent Systems
by: Yang, Huchen, et al.
Published: (2026)
by: Yang, Huchen, et al.
Published: (2026)
Agent-Oriented Planning in Multi-Agent Systems
by: Li, Ao, et al.
Published: (2024)
by: Li, Ao, et al.
Published: (2024)
CleanAgent: Automating Data Standardization with LLM-based Agents
by: Qi, Danrui, et al.
Published: (2024)
by: Qi, Danrui, et al.
Published: (2024)
Multi-Agent Decision Transformers for Dynamic Dispatching in Material Handling Systems Leveraging Enterprise Big Data
by: Lee, Xian Yeow, et al.
Published: (2024)
by: Lee, Xian Yeow, et al.
Published: (2024)
Topological Structure Learning Should Be A Research Priority for LLM-Based Multi-Agent Systems
by: Yang, Jiaxi, et al.
Published: (2025)
by: Yang, Jiaxi, et al.
Published: (2025)
GoAgent: Group-of-Agents Communication Topology Generation for LLM-based Multi-Agent Systems
by: Chen, Hongjiang, et al.
Published: (2026)
by: Chen, Hongjiang, et al.
Published: (2026)
Challenges in Credit Assignment for Multi-Agent Reinforcement Learning in Open Agent Systems
by: Abadi, Alireza Saleh, et al.
Published: (2025)
by: Abadi, Alireza Saleh, et al.
Published: (2025)
SkillGen: Verified Inference-Time Agent Skill Synthesis
by: Ma, Yuchen, et al.
Published: (2026)
by: Ma, Yuchen, et al.
Published: (2026)
Verifiability-First Agents: Provable Observability and Lightweight Audit Agents for Controlling Autonomous LLM Systems
by: Gupta, Abhivansh
Published: (2025)
by: Gupta, Abhivansh
Published: (2025)
Optimizing Life Sciences Agents in Real-Time using Reinforcement Learning
by: Chadderwala, Nihir
Published: (2025)
by: Chadderwala, Nihir
Published: (2025)
Putting Data at the Centre of Offline Multi-Agent Reinforcement Learning
by: Formanek, Claude, et al.
Published: (2024)
by: Formanek, Claude, et al.
Published: (2024)
Bike3S: A Tool for Bike Sharing Systems Simulation
by: Fernández, Alberto, et al.
Published: (2024)
by: Fernández, Alberto, et al.
Published: (2024)
Distributed Multi-Agent Coordination Using Multi-Modal Foundation Models
by: Mahmud, Saaduddin, et al.
Published: (2025)
by: Mahmud, Saaduddin, et al.
Published: (2025)
Hierarchical Reinforcement Learning for Optimal Agent Grouping in Cooperative Systems
by: Hu, Liyuan
Published: (2025)
by: Hu, Liyuan
Published: (2025)
Trust-based Consensus in Multi-Agent Reinforcement Learning Systems
by: Fung, Ho Long, et al.
Published: (2022)
by: Fung, Ho Long, et al.
Published: (2022)
Interpretable Failure Analysis in Multi-Agent Reinforcement Learning Systems
by: Shefin, Risal Shahriar, et al.
Published: (2026)
by: Shefin, Risal Shahriar, et al.
Published: (2026)
Hybrid Agentic AI and Multi-Agent Systems in Smart Manufacturing
by: Farahani, Mojtaba A., et al.
Published: (2025)
by: Farahani, Mojtaba A., et al.
Published: (2025)
MAGIC-MASK: Multi-Agent Guided Inter-Agent Collaboration with Mask-Based Explainability for Reinforcement Learning
by: Maliha, Maisha, et al.
Published: (2025)
by: Maliha, Maisha, et al.
Published: (2025)
Dynamic Pricing in High-Speed Railways Using Multi-Agent Reinforcement Learning
by: Villarrubia-Martin, Enrique Adrian, et al.
Published: (2025)
by: Villarrubia-Martin, Enrique Adrian, et al.
Published: (2025)
VariAntNet: Learning Decentralized Control of Multi-Agent Systems
by: Koifman, Yigal, et al.
Published: (2025)
by: Koifman, Yigal, et al.
Published: (2025)
A Hierarchical Hybrid AI Approach: Integrating Deep Reinforcement Learning and Scripted Agents in Combat Simulations
by: Black, Scotty, et al.
Published: (2025)
by: Black, Scotty, et al.
Published: (2025)
Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation
by: Liu, Sicong, et al.
Published: (2025)
by: Liu, Sicong, et al.
Published: (2025)
Redistributing Rewards Across Time and Agents for Multi-Agent Reinforcement Learning
by: Kapoor, Aditya, et al.
Published: (2025)
by: Kapoor, Aditya, et al.
Published: (2025)
A Survey on Context-Aware Multi-Agent Systems: Techniques, Challenges and Future Directions
by: Du, Hung, et al.
Published: (2024)
by: Du, Hung, et al.
Published: (2024)
MasHost Builds It All: Autonomous Multi-Agent System Directed by Reinforcement Learning
by: Yang, Kuo, et al.
Published: (2025)
by: Yang, Kuo, et al.
Published: (2025)
SocialGrid: A Benchmark for Planning and Social Reasoning in Embodied Multi-Agent Systems
by: Shindo, Hikaru, et al.
Published: (2026)
by: Shindo, Hikaru, et al.
Published: (2026)
Talk Structurally, Act Hierarchically: A Collaborative Framework for LLM Multi-Agent Systems
by: Wang, Zhao, et al.
Published: (2025)
by: Wang, Zhao, et al.
Published: (2025)
Agentic Neural Networks: Self-Evolving Multi-Agent Systems via Textual Backpropagation
by: Ma, Xiaowen, et al.
Published: (2025)
by: Ma, Xiaowen, et al.
Published: (2025)
Investigating the Impact of Direct Punishment on the Emergence of Cooperation in Multi-Agent Reinforcement Learning Systems
by: Dasgupta, Nayana, et al.
Published: (2023)
by: Dasgupta, Nayana, et al.
Published: (2023)
OMAC: A Holistic Optimization Framework for LLM-Based Multi-Agent Collaboration
by: Li, Shijun, et al.
Published: (2025)
by: Li, Shijun, et al.
Published: (2025)
Ready, Bid, Go! On-Demand Delivery Using Fleets of Drones with Unknown, Heterogeneous Energy Storage Constraints
by: Talamali, Mohamed S., et al.
Published: (2025)
by: Talamali, Mohamed S., et al.
Published: (2025)
Using Analytics on Student Created Data to Content Validate Pedagogical Tools
by: Kos, John, et al.
Published: (2023)
by: Kos, John, et al.
Published: (2023)
PeerGuard: Defending Multi-Agent Systems Against Backdoor Attacks Through Mutual Reasoning
by: Fan, Falong, et al.
Published: (2025)
by: Fan, Falong, et al.
Published: (2025)
A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem
by: Barde, Paul, et al.
Published: (2023)
by: Barde, Paul, et al.
Published: (2023)
Distributed Multi-Agent Reinforcement Learning Based on Graph-Induced Local Value Functions
by: Jing, Gangshan, et al.
Published: (2022)
by: Jing, Gangshan, et al.
Published: (2022)
RiskAgent: Synergizing Language Models with Validated Tools for Evidence-Based Risk Prediction
by: Liu, Fenglin, et al.
Published: (2025)
by: Liu, Fenglin, et al.
Published: (2025)
Similar Items
-
Evaluating Collaborative and Autonomous Agents in Data-Stream-Supported Coordination of Mobile Crowdsourcing
by: Bruns, Ralf, et al.
Published: (2024) -
Stream-based perception for cognitive agents in mobile ecosystems
by: Dötterl, Jeremias, et al.
Published: (2024) -
Sequence Pathfinder for Multi-Agent Pickup and Delivery in the Warehouse
by: Zhao, Zeyuan, et al.
Published: (2025) -
Reinforced Agent: Inference-Time Feedback for Tool-Calling Agents
by: Ta, Anh, et al.
Published: (2026) -
Active Learning for Communication Structure Optimization in LLM-Based Multi-Agent Systems
by: Yang, Huchen, et al.
Published: (2026)