The Distribution Shift Problem in Transportation Networks using Reinforcement Learning and AI

Documenti analoghi

• Quantifying Distribution Shift in Traffic Signal Control with Histogram-Based GEH Distance
  di: Taschin, Federico, et al.
  Pubblicazione: (2025)
• Using Kolmogorov-Smirnov Distance for Measuring Distribution Shift in Machine Learning
  di: Tonguz, Ozan K., et al.
  Pubblicazione: (2025)
• $α^3$-Bench: A Unified Benchmark of Safety, Robustness, and Efficiency for LLM-Based UAV Agents over 6G Networks
  di: Ferrag, Mohamed Amine, et al.
  Pubblicazione: (2026)
• Networked Multiagent Safe Reinforcement Learning for Low-carbon Demand Management in Distribution Network
  di: Zhang, Jichen, et al.
  Pubblicazione: (2023)
• Safety-Aware Reinforcement Learning for Electric Vehicle Charging Station Management in Distribution Network
  di: Fan, Jiarong, et al.
  Pubblicazione: (2024)