3 papers
cs.RO2026
Decentralized End-to-End Multi-AAV Pursuit Using Predictive Spatio-Temporal Observation via Deep Reinforcement Learning
Yude Li, Zhexuan Zhou, Huizhe Li +6
Decentralized cooperative pursuit in cluttered environments is challenging for autonomous aerial swarms, especially under partial and noisy perception. Existing methods often rely…
cs.MA2026
Self-Evolving Multi-Agent Framework for Efficient Decision Making in Real-Time Strategy Scenarios
Li Ma, Hao Peng, Yiming Wang +6
Large language models (LLMs) have demonstrated exceptional potential in complex reasoning,pioneering a new paradigm for autonomous agent decision making in dynamic settings. Howeve…
cs.LG2026
Generalizing Dynamics Modeling More Easily from Representation Perspective
Yiming Wang, Zhengnan Zhang, Genghe Zhang +7
Learning system dynamics from observations is a critical problem in many applications over various real-world complex systems, e.g., climate, ecology, and fluid systems. Recently,…