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cs.LG2026
Personalized Observation Normalization for Federated Reinforcement Learning in Simulation Environments with Heterogeneity
Yiran Pang, Zhen Ni, Xiangnan Zhong
Federated reinforcement learning (FedRL) enables multiple agents to collaboratively train a global policy without sharing raw data, making it ideal for privacy-sensitive applicatio…
cs.LG2026★ 18 cited
Humanity's Last Exam
Long Phan, Alice Gatti, Ziwen Han +1144
Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achi…
cs.LG2026
Deep learning approaches show promise for predicting childhood malnutrition: A comparative study with traditional machine learning methods using survey data
Deepak Bastola, Yang Li
Childhood malnutrition remains a major public health concern in Nepal and other low-resource settings, while conventional case-finding approaches are labor-intensive and frequently…