Ming Yang

Control and Systems Engineering · with Xu · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Control and Systems Engineering — 10 citations into it
• Building and Construction — 8 citations into it
• Transportation — 6 citations into it

Whom Ming Yang trusts overall

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

1. Hua Wei

Papers from Ming Yang's perspective

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

1. Multiagent Reinforcement Learning for Urban Traffic Control Using Coordination Graphs
2. Coordinated Deep Reinforcement Learners for Traffic Light Control
3. The Max-Pressure Controller for Arbitrary Networks of Signalized Intersections
4. Self-organizing traffic lights: A realistic simulation (Advances in Applied Self-organizing Systems)
5. CoLight: Learning Network-level Cooperation for Traffic Signal Control (International Conference on Information and Knowledge Management)
6. A Survey on Traffic Signal Control Methods (arXiv.org)
7. 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))
8. IntelliLight: A Reinforcement Learning Approach for Intelligent Traffic Light Control
9. CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario (The Web Conference)
10. PressLight: Learning Max Pressure Control to Coordinate Traffic Signals in Arterial Network (Knowledge Discovery and Data Mining)

Their papers

• Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control (2020) — 480 citations