Kai Xu
Control and Systems Engineering · International Conference on Information and Knowledge Management · 2019–2020
A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Control and Systems Engineering — 28 citations into it; #7,500 of 8,257 by trust here, #4,514 by citations
- Building and Construction — 21 citations into it
- Transportation — 15 citations into it
- Automotive Engineering — 9 citations into it
- Reinforcement Learning — 5 citations into it
Whom Kai Xu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Kai Xu overall
Papers from Kai Xu's perspective
Ordered by how strongly the researchers Kai Xu trusts endorse each paper. Same corpus, a different order for every researcher.
- Multi-Agent Reinforcement Learning for Traffic Light control
- Human-level control through deep reinforcement learning
- Attention is All you Need (Neural Information Processing Systems)
- Coordinated Deep Reinforcement Learners for Traffic Light Control
- Max pressure control of a network of signalized intersections
- Reinforcement learning for true adaptive traffic signal control
- Pattern Recognition and Machine Learning
- Graph Attention Networks (International Conference on Learning Representations)
- Reinforcement Learning With Function Approximation for Traffic Signal Control (IEEE transactions on intelligent transportation systems (Print))
- Multi-Agent Deep Reinforcement Learning for Large-Scale Traffic Signal Control (IEEE transactions on intelligent transportation systems (Print))
Their papers
- Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control (2020) — 480 citations
- CoLight: Learning Network-level Cooperation for Traffic Signal Control (2019) — 527 citations
- PressLight: Learning Max Pressure Control to Coordinate Traffic Signals in Arterial Network (2019) — 485 citations