Search Results - Greedy action-based distributed task allocation algorithm*

Centralized and Distributed Task Allocation in Multi-Robot Teams via a Stochastic Clustering Auction.

Authors: Zhang, Kai Collins, Emmanuel G. Shi, Dongqing

Source: ACM Transactions on Autonomous & Adaptive Systems; 2012, Vol. 7 Issue 2, p21-21:22, 22p

Subject Terms: ASSIGNMENT problems (Programming), ROBOTS, ALGORITHMS, STOCHASTIC analysis, MAXIMA & minima, MARKOV processes, PERFORMANCE evaluation, EXPERIMENTS

Research on Task Allocation in Four-Way Shuttle Storage and Retrieval Systems Based on Deep Reinforcement Learning.

Authors: Zhang, Zhongwei Wang, Jingrui Jin, Jie et al.

Source: Sustainability (2071-1050); Aug2025, Vol. 17 Issue 15, p6772, 33p

A Deep Reinforcement Learning-Driven Seagull Optimization Algorithm for Solving Multi-UAV Task Allocation Problem in Plateau Ecological Restoration.

Authors: Qin, Lijing Zhou, Zhao Liu, Huan et al.

Source: Drones (2504-446X); Jun2025, Vol. 9 Issue 6, p436, 19p

POMCP-based decentralized spatial task allocation algorithms for partially observable environments.

Authors: Amini, Sara Palhang, Maziar Mozayani, Nasser

Source: Applied Intelligence; May2023, Vol. 53 Issue 10, p12613-12631, 19p

Subject Terms: ALGORITHMS, DISTRIBUTED algorithms

Dynamic obstacle avoidance scheduling strategy for AGVs in dual-layer production lines considering task completion time and energy consumption.

Authors: Chen, Yiqiao Chen, Haiduo Chen, Shimiao et al.

Source: Production Engineering (09446524); Dec2025, Vol. 19 Issue 6, p1139-1162, 24p

Speeding Task Allocation Search for Reconfigurations in Adaptive Distributed Embedded Systems Using Deep Reinforcement Learning.

Authors: Rotaeche, Ramón Ballesteros, Alberto Proenza, Julián

Source: Sensors (14248220); Jan2023, Vol. 23 Issue 1, p548, 23p

Subject Terms: POLYNOMIAL time algorithms, REINFORCEMENT learning, COMBINATORIAL optimization, TIME management

A Review of Task Allocation Methods for UAVs.

Authors: Skaltsis, George Marios Shin, Hyo-Sang Tsourdos, Antonios

Source: Journal of Intelligent & Robotic Systems; Dec2023, Vol. 109 Issue 4, p1-24, 24p

A Hierarchical Reinforcement Learning Framework for Multi-Agent Cooperative Maneuver Interception in Dynamic Environments.

Authors: Huang, Qinlong Luo, Yasong Liu, Zhong et al.

Source: Journal of Marine Science & Engineering; Jul2025, Vol. 13 Issue 7, p1271, 32p

Subject Terms: REINFORCEMENT learning, GRAPH neural networks, MULTIAGENT systems, RESOURCE management, DEEP learning, ROBOTIC path planning

Fog Computing Tasks Management Based on Federated Reinforcement Learning.

Authors: Azarkasb, Seyed Omid Khasteh, Seyed Hossein

Source: Journal of Grid Computing; Mar2025, Vol. 23 Issue 1, p1-46, 46p

Development of a Fleet Management System for Multiple Robots' Task Allocation Using Deep Reinforcement Learning.

Authors: Dai, Yanyan Kim, Deokgyu Lee, Kidong

Source: Processes; Dec2024, Vol. 12 Issue 12, p2921, 15p

Subject Terms: DEEP reinforcement learning, LEARNING management system, ROBOT control systems, COST control, ROBOTICS

Task Scheduling Mechanism Based on Reinforcement Learning in Cloud Computing.

Authors: Wang, Yugui Dong, Shizhong Fan, Weibei

Source: Mathematics (2227-7390); Aug2023, Vol. 11 Issue 15, p3364, 17p

Subject Terms: CLOUD computing, REINFORCEMENT learning, VIRTUAL machine systems, PARTICLE swarm optimization, SCHEDULING, RESOURCE allocation

Multi-robot task allocation in e-commerce RMFS based on deep reinforcement learning.

Authors: Ruiping Yuan Jiangtao Dou Juntao Li et al.

Source: Mathematical Biosciences & Engineering; 2023, Vol. 20 Issue 2, p1903-1918, 16p, 4 Diagrams, 1 Chart, 4 Graphs

TASK ALLOCATION ALGORITHM BASED ON IMMUNE SYSTEM FOR AUTONOMOUSLY COOPERATIVE MULTI-ROBOT SYSTEM.

Authors: Yunyuan Gao

Source: Intelligent Automation & Soft Computing; Jun2009, Vol. 15 Issue 2, p263-273, 11p, 3 Diagrams, 2 Charts, 3 Graphs

Subject Terms: AUTONOMOUS robots, ROBOT control systems, SIMULATION methods & models, AUTOMATIC control systems, GENETIC algorithms, IMMUNE system

USVs Path Planning for Maritime Search and Rescue Based on POS-DQN: Probability of Success-Deep Q-Network.

Authors: Liu, Lu Shan, Qihe Xu, Qi

Source: Journal of Marine Science & Engineering; Jul2024, Vol. 12 Issue 7, p1158, 19p

Subject Terms: DEEP reinforcement learning, RESCUE work, AUTONOMOUS vehicles, PROBLEM solving, ALGORITHMS

Decentralizing Coordination in Open Vehicle Fleets for Scalable and Dynamic Task Allocation.

Authors: Lujak, Marin Giordani, Stefano Omicini, Andrea et al.

Source: Complexity; 7/16/2020, p1-21, 21p

Subject Terms: ASSIGNMENT problems (Programming), COMBINATORIAL optimization, MULTIAGENT systems, TASKS, MATHEMATICAL models, COMMERCIAL vehicles

Partially-Decoupled Service Agent - Transport Agent Task Allocation and Scheduling.

Authors: Bays, Matthew J. Wettergren, Thomas A.

Source: Journal of Intelligent & Robotic Systems; May2019, Vol. 94 Issue 2, p423-437, 15p

Distributed multirobot exploration, mapping, and task allocation.

Authors: Regis Vincent Dieter Fox Jonathan Ko et al.

Source: Annals of Mathematics & Artificial Intelligence; Apr2008, Vol. 52 Issue 2-4, p229-255, 27p

Subject Terms: ROBOTS, TASK analysis, COMMUNICATION & technology, ALGORITHMS, TOPOLOGICAL graph theory, CONSTRAINT satisfaction

GRSTAPS: Graphically Recursive Simultaneous Task Allocation, Planning, and Scheduling.

Authors: Messing, Andrew Neville, Glen Chernova, Sonia et al.

Source: International Journal of Robotics Research; Feb2022, Vol. 41 Issue 2, p232-256, 25p

Subject Terms: TASKS, SCHEDULING, INFORMATION storage & retrieval systems, INFORMATION sharing

Multi-UAV Urban Logistics Task Allocation Method Based on MCTS.

Authors: Ma, Zeyuan Chen, Jing

Source: Drones (2504-446X); Nov2023, Vol. 7 Issue 11, p679, 22p

Reinforcement Learning for Dynamic Security Policy Enforcement in Communication Networks.

Authors: Raju, Konda Babu, M. chunchure, Basavaraj et al.

Source: Cuestiones de Fisioterapia; 2025, Vol. 54 Issue 4, p1304-1311, 8p

Subject Terms: MACHINE learning, SOFTWARE-defined networking, REINFORCEMENT learning, COMPUTER network security, CYBERTERRORISM