Search Results - "Hassan, Raheeb"

Reinforcement Learning-Based Formulations With Hamiltonian-Inspired Loss Functions for Combinatorial Optimization Over Graphs by Rizvee, Redwan Ahmed, Hassan, Raheeb, Khan, Md. Mosaddek

“…Quadratic Unconstrained Binary Optimization (QUBO) is a versatile approach used to represent a wide range of NP-hard Combinatorial Optimization (CO) problems…”
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DePAint: a decentralized safe multi-agent reinforcement learning algorithm considering peak and average constraints by Hassan, Raheeb, Wadith, K.M. Shadman, Rashid, Md. Mamun or, Khan, Md. Mosaddek

“…The domain of safe multi-agent reinforcement learning (MARL), despite its potential applications in areas ranging from drone delivery and vehicle automation to…”
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A Graph Neural Network-Based QUBO-Formulated Hamiltonian-Inspired Loss Function for Combinatorial Optimization using Reinforcement Learning by Rizvee, Redwan Ahmed, Hassan, Raheeb, Khan, Md. Mosaddek

“…Quadratic Unconstrained Binary Optimization (QUBO) is a generic technique to model various NP-hard Combinatorial Optimization problems (CO) in the form of…”
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DePAint: A Decentralized Safe Multi-Agent Reinforcement Learning Algorithm considering Peak and Average Constraints by Hassan, Raheeb, Wadith, K. M. Shadman, Rashid, Md. Mamun or, Khan, Md. Mosaddek

“…The domain of safe multi-agent reinforcement learning (MARL), despite its potential applications in areas ranging from drone delivery and vehicle automation to…”
Get full text