2 papers
cs.AI2026
From Coarse to Fine: Self-Adaptive Hierarchical Planning for LLM Agents
Haoran Tan, Zeyu Zhang, Chen Ma +3
Large language model-based agents have recently emerged as powerful approaches for solving dynamic and multi-step tasks. Most existing agents employ planning mechanisms to guide lo…
cs.RO2025
Mimicking associative learning of rats via a neuromorphic robot in open field maze using spatial cell models
Tianze Liu, Md Abu Bakr Siddique, Hongyu An
Data-driven Artificial Intelligence (AI) approaches have exhibited remarkable prowess across various cognitive tasks using extensive training data. However, the reliance on large d…