3 papers
eess.SY2026
Cooperative Optimal Output Tracking for Discrete-Time Multiagent Systems: Stabilizing Policy Iteration Frameworks
Dongdong Li, Jiuxiang Dong
This paper proposes two cooperative optimal output tracking (COOT) algorithms based on policy iteration (PI) for discrete-time multi-agent systems with unknown model parameters. Fi…
eess.SY2025
Output-Feedback Stabilizing Policy Iteration for Convergence Assurance of Unknown Discrete-Time Systems with Unmeasurable States
Dongdong Li, Jiuxiang Dong
This note proposes a data-driven output-feedback stabilizing policy iteration for unknown linear discrete-time systems with unmeasurable states. Existing policy iteration methods f…
cs.CL2025
LLM Reasoning Engine: Specialized Training for Enhanced Mathematical Reasoning
Shuguang Chen, Guang Lin
Large Language Models (LLMs) have shown remarkable performance in various natural language processing tasks but face challenges in mathematical reasoning, where complex problem-sol…