2 papers
cs.AI2026
Learning What to Remember: A Cognitively Grounded Multi-Factor Value Model for Agentic Memory
Zhibao Chen, Qian Cheng
Long-running LLM agents accumulate interaction histories far larger than any context window, forcing a standing decision: what to encode deeply, what to forget, and what to retriev…
cs.RO2023
Robot Learning in the Era of Foundation Models: A Survey
Xuan Xiao, Jiahang Liu, Zhipeng Wang +5
The proliferation of Large Language Models (LLMs) has s fueled a shift in robot learning from automation towards general embodied Artificial Intelligence (AI). Adopting foundation…