activity
20182026
most citedModeling Perceptual Aliasing in SLAM via Discrete-Continuous Graphical Models

79 citations · 165 across the 24 of their papers we have counts for

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9 papers · 1 filter

cs.AI2026

Can We Trust the Teacher? Decoupled Credit Direction-Magnitude for Self-Distillation

Yugu Li, Zehong Cao, Peizhen Li +3

RLVR provides reliable trajectory-level credit, while OPSD offers dense supervision for token-level credit. This exposes a fundamental coupling when updating step-level credit dire…

cs.AI2026

RTPO: Reverse-Turn Policy Optimization for Stabilizing Agentic RL Training

Yugu Li, Zehong Cao, Jianglin Qiao +1

Training multi-turn agentic workflows with reinforcement learning (RL) enables large language models to perform complex reasoning, use external tools, and conduct iterative search…

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…

cs.AI2023★ 1 cited

Debunking Disinformation: Revolutionizing Truth with NLP in Fake News Detection

Li He, Siyi Hu, Ailun Pei

The Internet and social media have altered how individuals access news in the age of instantaneous information distribution. While this development has increased access to informat…

cs.AI2023★ 3 cited

ProAgent: Building Proactive Cooperative Agents with Large Language Models

Ceyao Zhang, Kaijie Yang, Siyi Hu +12

Building agents with adaptive behavior in cooperative tasks stands as a paramount goal in the realm of multi-agent systems. Current approaches to developing cooperative agents rely…