Ngā tūemi rite

• Real-time system optimal traffic routing under uncertainties -- Can physics models boost reinforcement learning?
  mā: Ke, Zemian, me ētahi atu.
  I whakaputaina: (2024)
• Transferable Reinforcement Learning via Probabilistic Latent Embeddings and Dynamic Policy Adaptation for Sim-to-Real Deployment
  mā: Han, Gengyue, me ētahi atu.
  I whakaputaina: (2026)
• Large-scale traffic signal control using machine learning: some traffic flow considerations
  mā: Laval, Jorge A., me ētahi atu.
  I whakaputaina: (2019)
• Learning a local trading strategy: deep reinforcement learning for grid-scale renewable energy integration
  mā: Ju, Caleb, me ētahi atu.
  I whakaputaina: (2024)
• CityLight: A Neighborhood-inclusive Universal Model for Coordinated City-scale Traffic Signal Control
  mā: Zeng, Jinwei, me ētahi atu.
  I whakaputaina: (2024)