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cs.AI2026

HADT: A Heterogeneous Multi-Agent Differential Transformer for Autonomous Earth Observation Satellite Cluster

Mohamad A. Hady, Muhammad Anwar Masum, Siyi Hu +3

This work addresses the problem of autonomous resource management in heterogeneous satellite cluster conducting Earth Observation (EO) missions including optical and Synthetic Aper…

cs.AI2026

KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning

Monirul Islam Pavel, Siyi Hu, Muhammad Anwar Masum +3

Real world deployment of multi agent reinforcement learning MARL systems is fundamentally constrained by limited compute memory and inference time. While expert policies achieve hi…

cs.AI2025

Multi-Agent Reinforcement Learning for Heterogeneous Satellite Cluster Resources Optimization

Mohamad A. Hady, Siyi Hu, Mahardhika Pratama +2

This work investigates resource optimization in heterogeneous satellite clusters performing autonomous Earth Observation (EO) missions using Reinforcement Learning (RL). In the pro…

cs.AI2025

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review

Siyi Hu, Mohamad A Hady, Jianglin Qiao +3

Multi-Agent Reinforcement Learning (MARL) has achieved strong performance in simulated benchmarks, yet real deployments often violate the assumptions under which algorithms are des…

cs.AI2025

Multi-Agent Reinforcement Learning for Autonomous Multi-Satellite Earth Observation: A Realistic Case Study

Mohamad A. Hady, Siyi Hu, Mahardhika Pratama +2

The exponential growth of Low Earth Orbit (LEO) satellites has revolutionised Earth Observation (EO) missions, addressing challenges in climate monitoring, disaster management, and…