Zhenhui
Control and Systems Engineering · 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 Zhenhui trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Pravin Pratap Varaiya (in Control and Systems Engineering)
- van der D David Pol (in Reinforcement Learning)
- Zhenhui Jessie Li (in Building and Construction)
Papers from Zhenhui's perspective
Ordered by how strongly the researchers Zhenhui trusts endorse each paper. Same corpus, a different order for every researcher.
- Multiagent Reinforcement Learning for Urban Traffic Control Using Coordination Graphs
- Coordinated Deep Reinforcement Learners for Traffic Light Control
- The Max-Pressure Controller for Arbitrary Networks of Signalized Intersections
- Self-organizing traffic lights: A realistic simulation (Advances in Applied Self-organizing Systems)
- CoLight: Learning Network-level Cooperation for Traffic Signal Control (International Conference on Information and Knowledge Management)
- A Survey on Traffic Signal Control Methods (arXiv.org)
- 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))
- IntelliLight: A Reinforcement Learning Approach for Intelligent Traffic Light Control
- PressLight: Learning Max Pressure Control to Coordinate Traffic Signals in Arterial Network (Knowledge Discovery and Data Mining)
- CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario (The Web Conference)