Concepedia

Data efficient reinforcement learning and adaptive optimal perimeter control of network traffic dynamics

Can Chen, Yunping Huang, William H. K. Lam, T.L. Pan, Shu‐Chien Hsu, Agachai Sumalee, Renxin Zhong

Transportation Research Part C Emerging Technologies · 2022 · 57 citations · 58 references

Concepts

ComputingComputer ScienceComputer NetworksMachine LearningMarkov Decision ProcessesCongestion ControlOptimal ControlPolicy LearningReinforcement LearningTraffic EngineeringTraffic Flow TheoryAdaptive Optimal ControlNetwork Traffic DynamicsNetwork Traffic EngineeringNetwork Traffic ModelingReinforcement Learning TheoryReinforcement Learning With Limited DataTraffic Flow Optimization

References

58

Human-level control through deep reinforcement learning

Volodymyr Mnih, Koray Kavukcuoglu, David Silver et al. · Nature · 2015 · 30K citations

Computing, Computer Science, Artificial Intelligence +8

Mastering the game of Go with deep neural networks and tree search

David Silver, Aja Huang, Chris J. Maddison et al. · Nature · 2016 · 15.8K citations

Computing, Computer Science, Algorithms +10

Reinforcement Learning: An Introduction

Jeffrey D. Johnson, Jinghong Li, Zengshi Chen · Neurocomputing · 2000 · 8.7K citations

Computing, Behavioral Sciences, Computer Science +12

Feedback control of dynamic systems

Stephen Kahne · Automatica · 1987 · 3.5K citations

Engineering, Systems Engineering, Dynamical Systems +13

Nearly optimal control laws for nonlinear systems with saturating actuators using a neural network HJB approach

Murad Abu-Khalaf, Frank L. Lewis · Automatica · 2005 · 1.3K citations

Natural Sciences, Mathematics, Actuators +15