IEEE

Unicorn: A Universal and Collaborative Reinforcement Learning Approach Toward Generalizable Network-Wide Traffic Signal Control

Abstract: Adaptive traffic signal control (ATSC) is crucial in reducing congestion, maximizing throughput, and improving mobility in rapidly growing urban areas. Recent advancements in ...
GitHub

verl: Volcano Engine Reinforcement Learning for LLMs

verl is a flexible, efficient and production-ready RL training library for large language models (LLMs). verl is the open-source version of HybridFlow: A Flexible and Efficient RLHF Framework paper.
abc45

Remote learning days running out as Triad school districts face state limits

Triad, N.C. — Several school districts across the Piedmont Triad reached or neared North Carolina’s limit on remote learning days following multiple rounds of winter weather, leaving families ...
Carnegie Institution for Science

Machine Learning Approaches to Identifying Changes in Eruptive State Using Multi-Parameter Datasets From the 2006 Eruption of Augustine Volcano, Alaska

Understanding the timing of critical changes in volcanic systems, such as the beginning and end of eruptive behavior, is a key goal of volcanic monitoring. Traditional approaches to forecasting these ...