1 citations · 3 across the 4 of their papers we have counts for
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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…
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…
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…