Reinforcement learning & sequential models
Four detailed lessons, mathematical definitions, worked examples and limitations.
Explore the lessons
Concept 33Quantum reinforcement learningQuantum circuits can parameterize policies or value functions in sequential decision-making.Concept 34Quantum policy gradientsDifferentiate a quantum policy through measured action probabilities and reward objectives.Concept 35Quantum reservoir computingDrive a fixed quantum dynamical system with input signals and train a classical readout.Concept 36Time series and quantum recurrent ideasRecurrent and repeated-upload models attempt to represent temporal dependencies.