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A model-based deep reinforcement learning method applied to finite-horizon optimal control of nonlinear control-affine system

Jong Woo Kim, Byung Jun Park, Haeun Yoo, Tae Hoon Oh, Jay H. Lee, Jong Min Lee

2020Journal of Process Control58 citationsDOI

Topics & Concepts

Hamilton–Jacobi–Bellman equationOptimal controlReinforcement learningDynamic programmingComputer scienceMathematical optimizationBellman equationNonlinear systemArtificial neural networkAffine transformationMathematicsControl theory (sociology)Artificial intelligenceControl (management)PhysicsQuantum mechanicsPure mathematicsAdaptive Dynamic Programming ControlMechanical Circulatory Support DevicesReinforcement Learning in Robotics
A model-based deep reinforcement learning method applied to finite-horizon optimal control of nonlinear control-affine system | Litcius