10 citations · 13 across the 10 of their papers we have counts for
11 papers
DePAint: A Decentralized Safe Multi-Agent Reinforcement Learning Algorithm considering Peak and Average Constraints
Raheeb Hassan, K. M. Shadman Wadith, Md. Mamun or Rashid +1
The domain of safe multi-agent reinforcement learning (MARL), despite its potential applications in areas ranging from drone delivery and vehicle automation to the development of z…
Accelerating Recursive Partition-Based Causal Structure Learning
Md. Musfiqur Rahman, Ayman Rasheed, Md. Mosaddek Khan +3
Causal structure discovery from observational data is fundamental to the causal understanding of autonomous systems such as medical decision support systems, advertising campaigns…
Improving Solution Quality of Bounded Max-Sum Algorithm to Solve DCOPs involving Hard and Soft Constraints
Md. Musfiqur Rahman, Mashrur Rashik, Md. Mamun-or-Rashid +1
Bounded Max-Sum (BMS) is a message-passing algorithm that provides approximation solution to a specific form of de-centralized coordination problems, namely Distributed Constrained…
A Particle Swarm Inspired Approach for Continuous Distributed Constraint Optimization Problems
Moumita Choudhury, Amit Sarker, Md. Mosaddek Khan +1
Distributed Constraint Optimization Problems (DCOPs) are a widely studied framework for coordinating interactions in cooperative multi-agent systems. In classical DCOPs, variables…
On Population-Based Algorithms for Distributed Constraint Optimization Problems
Saaduddin Mahmud, Md. Mosaddek Khan, Nicholas R. Jennings
Distributed Constraint Optimization Problems (DCOPs) are a widely studied class of optimization problems in which interaction between a set of cooperative agents are modeled as a s…
C-CoCoA: A Continuous Cooperative Constraint Approximation Algorithm to Solve Functional DCOPs
Amit Sarker, Abdullahil Baki Arif, Moumita Choudhury +1
Distributed Constraint Optimization Problems (DCOPs) have been widely used to coordinate interactions (i.e. constraints) in cooperative multi-agent systems. The traditional DCOP mo…
Learning Optimal Temperature Region for Solving Mixed Integer Functional DCOPs
Saaduddin Mahmud, Md. Mosaddek Khan, Moumita Choudhury +2
Distributed Constraint Optimization Problems (DCOPs) are an important framework for modeling coordinated decision-making problems in multi-agent systems with a set of discrete vari…
Speeding Up Distributed Pseudo-tree Optimization Procedure with Cross Edge Consistency to Solve DCOPs
Mashrur Rashik, Md. Musfiqur Rahman, Md. Mamun-or-Rashid +1
Distributed Pseudo-tree Optimization Procedure (DPOP) is a well-known message passing algorithm that has been used to provide optimal solutions of Distributed Constraint Optimizati…
A Particle Swarm Based Algorithm for Functional Distributed Constraint Optimization Problems
Moumita Choudhury, Saaduddin Mahmud, Md. Mosaddek Khan
Distributed Constraint Optimization Problems (DCOPs) are a widely studied constraint handling framework. The objective of a DCOP algorithm is to optimize a global objective functio…
AED: An Anytime Evolutionary DCOP Algorithm
Saaduddin Mahmud, Moumita Choudhury, Md. Mosaddek Khan +2
Evolutionary optimization is a generic population-based metaheuristic that can be adapted to solve a wide variety of optimization problems and has proven very effective for combina…
A Gray Box Interpretable Visual Debugging Approach for Deep Sequence Learning Model
Md Mofijul Islam, Amar Debnath, Tahsin Al Sayeed +6
Deep Learning algorithms are often used as black box type learning and they are too complex to understand. The widespread usability of Deep Learning algorithms to solve various mac…