Kan Wu

Control and Systems Engineering · with Chen · 2019

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kan Wu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Pravin Pratap Varaiya

Papers from Kan Wu's perspective

Ordered by how strongly the researchers Kan Wu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Multi-Agent Reinforcement Learning for Traffic Light control
  2. Reinforcement learning for true adaptive traffic signal control
  3. Human-level control through deep reinforcement learning
  4. Max pressure control of a network of signalized intersections
  5. Multiagent Reinforcement Learning for Integrated Network of Adaptive Traffic Signal Controllers (MARLIN-ATSC): Methodology and Large-Scale Application on Downtown Toronto (IEEE transactions on intelligent transportation systems (Print))
  6. CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario (The Web Conference)
  7. Traffic Light Control Using Deep Policy-Gradient and Value-Function Based Reinforcement Learning (arXiv.org)
  8. Q-learning
  9. An Introduction to Reinforcement Learning
  10. The Dynamics of Reinforcement Learning in Cooperative Multiagent Systems

Their papers