Md. Mosaddek Khan

Orcid: 0000-0002-7871-7111

According to our database1, Md. Mosaddek Khan authored at least 32 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
DePAint: a decentralized safe multi-agent reinforcement learning algorithm considering peak and average constraints.
Appl. Intell., April, 2024

Decentralized Cooperation in Heterogeneous Multi-Agent Reinforcement Learning via Graph Neural Network-Based Intrinsic Motivation.
CoRR, 2024

Blind Image Deblurring using FFT-ReLU with Deep Learning Pipeline Integration.
CoRR, 2024

Adaptive Opponent Policy Detection in Multi-Agent MDPs: Real-Time Strategy Switch Identification Using Running Error Estimation.
CoRR, 2024

Reinforcement Learning-Based Formulations With Hamiltonian-Inspired Loss Functions for Combinatorial Optimization Over Graphs.
IEEE Access, 2024

2023
A particle swarm inspired approach for continuous distributed constraint optimization problems.
Eng. Appl. Artif. Intell., 2023

A Graph Neural Network-Based QUBO-Formulated Hamiltonian-Inspired Loss Function for Combinatorial Optimization using Reinforcement Learning.
CoRR, 2023

Understanding the Usage of QUBO-based Hamiltonian Function in Combinatorial Optimization over Graphs: A Discussion Using Max Cut (MC) Problem.
CoRR, 2023

CrowdSPaFE: A Crowd-Sourced Multimodal Recommendation System for Urban Route Safety.
IEEE Access, 2023

2022
On evaluation of patrolling and signalling schemes to prevent poaching in green security games.
Intell. Syst. Appl., 2022

An Adaptive Agent-Specific Sub-Optimal Bounding Approach for Multi-Agent Path Finding.
IEEE Access, 2022

SPaFE: A Crowdsourcing and Multimodal Recommender System to Ensure Travel Safety in a City.
IEEE Access, 2022

A Simulation Based Online Planning Algorithm for Multi-Agent Cooperative Environments.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021
Improving Causal Effect Estimation of Weighted RegressionBased Estimator using Neural Networks.
CoRR, 2021

Learning Cooperation and Online Planning Through Simulation and Graph Convolutional Network.
CoRR, 2021

An Artificial Bee Colony Based Algorithm for Continuous Distributed Constraint Optimization Problems.
CoRR, 2021

Speeding up distributed pseudo-tree optimization procedures with cross edge consistency to solve DCOPs.
Appl. Intell., 2021

Accelerating Message Passing Operation of GDL-Based Constraint Optimization Algorithms Using Multiprocessing.
Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

A Local Search Based Approach to Solve Continuous DCOPs.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Accelerating Recursive Partition-Based Causal Structure Learning.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020
Improving Solution Quality of Bounded Max-Sum Algorithm to Solve DCOPs involving Hard and Soft Constraints.
CoRR, 2020

A Particle Swarm Inspired Approach for Continuous Distributed Constraint Optimization Problems.
CoRR, 2020

On Population-Based Algorithms for Distributed Constraint Optimization Problems.
CoRR, 2020

Learning Optimal Temperature Region for Solving Mixed Integer Functional DCOPs.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

C-CoCoA: A Continuous Cooperative Constraint Approximation Algorithm to Solve Functional DCOPs.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

AED: An Anytime Evolutionary DCOP Algorithm.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

A Particle Swarm Based Algorithm for Functional Distributed Constraint Optimization Problems.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Speeding Up Distributed Pseudo-tree Optimization Procedure with Cross Edge Consistency to Solve DCOPs.
CoRR, 2019

2018
A Gray Box Interpretable Visual Debugging Approach for Deep Sequence Learning Model.
CoRR, 2018

Speeding Up GDL-Based Message Passing Algorithms for Large-Scale DCOPs.
Comput. J., 2018

A Near-Optimal Node-to-Agent Mapping Heuristic for GDL-Based DCOP Algorithms in Multi-Agent Systems.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

A Generic Domain Pruning Technique for GDL-Based DCOP Algorithms in Cooperative Multi-Agent Systems.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018


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