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Menglin Zhang

2 accepted papers

2026

Exploiting Geometric Structures for Modeling Multi-Agent Behaviors: A New Thinking

AAAI 2026technical

In this paper, we rethink model agent behaviors from a geometric structure perspective in multi-agent reinforcement learning. Modeling agent behaviors is essential for understanding how agents interact and facilitating effective decisions. The key lies in capturing the dependencies and sequential re

Cited by 0SourcePDFScholar
2025

When Schrodinger Bridge Meets Real-World Image Dehazing with Unpaired Training

ICCV 2025poster

Recent advancements in unpaired dehazing, particularly those using GANs, show promising performance in processing real-world hazy images. However, these methods tend to face limitations due to the generator's limited transport mapping capability, which hinders the full exploitation of their effectiv…

Cited by 0SourcePDFScholar