#adaptive learning
4 papers match
Self-Improvements in Modern Agentic Systems: A Survey
Zhe Ren, Yimeng Chen, Dandan Guo +9
The paper surveys modern self-improving autonomous agents, presenting a system-level framework that combines foundation models with prompts, memory, tools, and control logic, and c…
SteinGate: Tail-Sensitive Safe Reinforcement Learning via Stein Discrepancy
Yassine Chemingui, Chenhua Fan, Honghao Wei +1
SteinGate introduces a distributional safety certificate based on Kernelized Stein Discrepancy to detect rare, high-cost tail events in reinforcement learning and dynamically switc…
Learning in Blocks: A Multi Agent Debate Assisted Personalized Adaptive Learning Framework for Language Learning
Nicy Scaria, Silvester John Joseph Kennedy, Deepak Subramani
The paper presents Learning in Blocks, a framework that uses specialized AI agents to debate and score open‑ended language conversations against CEFR rubrics, then recommends targe…
InqEduAgent: Adaptive AI Learning Partners with Gaussian Process Augmentation
Wen-Xi Yang, Tian-Fang Zhao, Guan Liu
The paper presents InqEduAgent, a framework that uses large language models combined with a Gaussian‑process‑based matching mechanism to adaptively select AI learning partners for…