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Dynamic Dispatching for Large-Scale Heterogeneous Fleet via Multi-agent Deep Reinforcement Learning

https://doi.org/10.1109/bigdata50022.2020.9378191
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-46133-1_37openalex-snapshot
Generative Adversarial Networks for Failure Prediction
inferredcites →https://doi.org/10.1007/978-3-030-46133-1_39openalex-snapshot
Manufacturing Dispatching Using Reinforcement and Transfer Learning
inferredcites →https://doi.org/10.1007/978-3-540-71984-7openalex-snapshot
Challenges for Computational Intelligence
inferredcites →https://doi.org/10.1016/j.ejor.2010.05.031openalex-snapshot
A hybrid heuristic algorithm for the open-pit-mining operational planning problem
inferredcites →https://doi.org/10.1016/j.ejor.2017.02.039openalex-snapshot
Improving fleet management in mines: The benefit of heterogeneous match factor
inferredcites →https://doi.org/10.1038/nature24270openalex-snapshot
Mastering the game of Go without human knowledge
inferredcites →https://doi.org/10.1080/17480930701388606openalex-snapshot
Match factor for heterogeneous truck and loader fleets
inferredcites →https://doi.org/10.1080/17480930801943334openalex-snapshot
Match factor for heterogeneous truck and loader fleets
inferredcites →https://doi.org/10.1109/icassp40776.2020.9053475openalex-snapshot
Discriminant Generative Adversarial Networks with its Application to Equipment Health Classification
inferredcites →https://doi.org/10.1109/icassp40776.2020.9053863openalex-snapshot
Trace Norm Generative Adversarial Networks for Sensor Generation and Feature Extraction
inferredcites →https://doi.org/10.1109/icphm.2017.7998311openalex-snapshot
Long Short-Term Memory Network for Remaining Useful Life estimation
inferredcites →https://doi.org/10.1109/wsc.2001.977437openalex-snapshot
The shortest processing time first (SPTF) dispatch rule and some variants in semiconductor manufacturing
inferredcites →https://doi.org/10.1145/3097983.3098178openalex-snapshot
Dispatch with Confidence
inferredcites →https://doi.org/10.1145/3219819.3219993openalex-snapshot
Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning
inferredcites →https://doi.org/10.1371/journal.pone.0172395openalex-snapshot
Multiagent cooperation and competition with deep reinforcement learning
inferredcites →https://doi.org/10.48550/arxiv.1912.06680openalex-snapshot
Dota 2 with Large Scale Deep Reinforcement Learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Two-Sided Deep Reinforcement Learning for Dynamic Mobility-on-Demand Management with Mixed-Autonomy
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Multi-Agent Deep Reinforcement Learning to Improve Efficiency of Autonomous Mining Transportation
inferred← citeshttps://doi.org/10.1002/cpe.70147openalex-snapshot
Open ‐Pit Mine Autonomous Truck Dispatching: Many‐Objective Joint Optimization Strategy Considering Uncertainties
inferred← citeshttps://doi.org/10.1007/978-3-031-36822-6_18openalex-snapshot
Solving Job-Shop Scheduling Problem via Deep Reinforcement Learning with Attention Model
inferred← citeshttps://doi.org/10.1007/978-981-95-8060-6_11openalex-snapshot
Large-scale Mining Fleet Dispatching Optimization Based on LSTM-PPO
inferred← citeshttps://doi.org/10.1007/s00521-023-09396-xopenalex-snapshot
Improving productivity in mining operations: a deep reinforcement learning model for effective material supply and equipment management
inferred← citeshttps://doi.org/10.1007/s42154-025-00368-6openalex-snapshot
Cooperative Right-of-Way Assignment for Autonomous Mining Trucks at Multiple Open-Pit Mine Intersections
inferred← citeshttps://doi.org/10.1007/s42461-023-00875-2openalex-snapshot
Intelligent Fleet Management Systems in Surface Mining: Status, Threats, and Opportunities
inferred← citeshttps://doi.org/10.1016/j.cor.2024.106815openalex-snapshot
Deep Reinforcement Learning based real-time open-pit mining truck dispatching system
inferred← citeshttps://doi.org/10.1038/s41598-025-16347-0openalex-snapshot
A hybrid MARL clustering framework for real time open pit mine truck scheduling
inferred← citeshttps://doi.org/10.1080/0305215x.2025.2600329openalex-snapshot
Handling stochasticity in open-pit mining truck dispatch using deep reinforcement learning
inferred← citeshttps://doi.org/10.1080/17480930.2023.2201120openalex-snapshot
Real-time truck dispatching in open-pit mines
inferred← citeshttps://doi.org/10.1080/17480930.2025.2486316openalex-snapshot
Learning-based dispatching system with trajectory optimisation for autonomous mining transportation
inferred← citeshttps://doi.org/10.1080/17480930.2026.2708626openalex-snapshot
A case study on the performance analysis of loading, hauling, and unloading operations in a chilean open pit copper mine through process mining
inferred← citeshttps://doi.org/10.1080/23249935.2025.2522360openalex-snapshot
Hierarchical multiagent reinforcement learning for sustainable truck dispatching in open-pit mining
inferred← citeshttps://doi.org/10.1109/bigdata52589.2021.9671691openalex-snapshot
K-nearest Multi-agent Deep Reinforcement Learning for Collaborative Tasks with a Variable Number of Agents
inferred← citeshttps://doi.org/10.1109/cac67268.2025.11487730openalex-snapshot
Reinforcement Learning with Curriculum-inspired Adaptive Direct Policy Guidance for Truck Dispatching
inferred← citeshttps://doi.org/10.1109/case59546.2024.10711554openalex-snapshot
MCTS Based Dispatch of Autonomous Vehicles under Operational Constraints for Continuous Transportation
inferred← citeshttps://doi.org/10.1109/iciea65512.2025.11149205openalex-snapshot
AnyPit: A Lightweight and Extensible Simulation Platform for Real-Time Mining Truck Dispatching
inferred← citeshttps://doi.org/10.1109/itsc57777.2023.10422131openalex-snapshot
Real-time Dispatching for Autonomous Vehicles in Open-pit Mining Deployments using Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/iv55156.2024.10588764openalex-snapshot
OpenMines: A Light and Comprehensive Mining Simulation Environment for Truck Dispatching
inferred← citeshttps://doi.org/10.1109/smc53654.2022.9945585openalex-snapshot
Learning to Schedule Job-Shop Problems via Hierarchical Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/tase.2020.3039908openalex-snapshot
Flow-Achieving Online Planning and Dispatching for Continuous Transportation With Autonomous Vehicles
inferred← citeshttps://doi.org/10.1109/tiv.2022.3166564openalex-snapshot
Real-Time Scheduling of Autonomous Mining Trucks via Flow Allocation-Accelerated Tabu Search
inferred← citeshttps://doi.org/10.1109/tmc.2025.3600920openalex-snapshot
BOTH: Efficient Coordination of Mobile Agents With Graph-Enhanced Bayesian Online Learning
inferred← citeshttps://doi.org/10.1177/25726668231222998openalex-snapshot
Transition to intelligent fleet management systems in open pit mines: A critical review on application of reinforcement-learning-based systems
inferred← citeshttps://doi.org/10.1177/25726668241301876openalex-snapshot
An intelligent rule-based decision-making system for preliminary truck dispatching within open-pit mines
inferred← citeshttps://doi.org/10.1609/icaps.v31i1.15998openalex-snapshot
DeepFreight: A Model-free Deep-reinforcement-learning-based Algorithm for Multi-transfer Freight Delivery
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Highway Heterogeneous Truck Platooning Multi-Agent Cooperative Control Model
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A review of the applications of multi-agent reinforcement learning in smart factories
inferred← citeshttps://doi.org/10.3390/app15031211openalex-snapshot
A Systematic Review on Reinforcement Learning for Industrial Combinatorial Optimization Problems
inferred← citeshttps://doi.org/10.3390/machines13050350openalex-snapshot
Intelligent Scheduling in Open-Pit Mining: A Multi-Agent System with Reinforcement Learning
inferred← citeshttps://doi.org/10.3390/mining4010002openalex-snapshot
Maximizing Mining Operations: Unlocking the Crucial Role of Intelligent Fleet Management Systems in Surface Mining’s Value Chain
inferred← citeshttps://doi.org/10.3390/robotics11050085openalex-snapshot
Controlling Fleets of Autonomous Mobile Robots with Reinforcement Learning: A Brief Survey
inferred← citeshttps://doi.org/10.4018/979-8-3693-5415-5.ch002openalex-snapshot
Reinforcement Learning Approaches in Cyber Security
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