720 citations · 810 across the 30 of their papers we have counts for
4 papers · 1 filter
Learning While Acting: A Skill-Enhanced Test-Time Co-Evolution Framework for Online Lifelong Learning Agents
Bo Mao, Jie Zhou, Yutao Yang +5
Lifelong learning is essential for Large Language Model (LLM) agents operating in dynamic, interactive environments. However, existing lifelong learning agents for long-horizon tas…
Task-Core Memory Management and Consolidation for Long-term Continual Learning
Tianyu Huai, Jie Zhou, Yuxuan Cai +5
In this paper, we focus on a long-term continual learning (CL) task, where a model learns sequentially from a stream of vast tasks over time, acquiring new knowledge while retainin…
Multi-Type Preference Learning: Empowering Preference-Based Reinforcement Learning with Equal Preferences
Ziang Liu, Junjie Xu, Xingjiao Wu +2
Preference-Based reinforcement learning (PBRL) learns directly from the preferences of human teachers regarding agent behaviors without needing meticulously designed reward functio…
A Survey of Human-in-the-loop for Machine Learning
Xingjiao Wu, Luwei Xiao, Yixuan Sun +3
Human-in-the-loop aims to train an accurate prediction model with minimum cost by integrating human knowledge and experience. Humans can provide training data for machine learning…