Gaussian Processes for Learning and Control: A Tutorial with Examples

Keyphrases

• Adaptive Control 100%
• Gaussian Process 100%
• Adaptation 50%
• Number of Features 50%
• Classical Model 50%
• Adaptation Models 50%
• Number of Parameters 50%
• Radial Basis Function Neural Network (RBFNN) 50%
• Legged Robots 50%
• Model Reference Adaptive System 50%
• Uncertain Dynamics 50%
• Control Problem 50%
• Mobile Robot 50%
• Reinforcement Learning Algorithm 50%
• Unicycle 50%
• Model Learning 50%
• Control Policy 50%
• Adaptive Element 50%
• Space-dependent 50%
• Robot Localization 50%
• Operating Domain 50%
• Robot Tracking 50%
• Gait Optimization 50%
• Robotic Arm Control 50%
• Uncertain Disturbances 50%
• Multi-vehicle Tracking 50%
• Cart-pole System 50%
• Blimp-1 50%
• Snake Robot 50%

Engineering

• Gaussians 100%
• Robot 100%
• Adaptive Control 100%
• Reference Model 50%
• Tracking (Position) 50%
• Mobile Robot 50%
• Robotic Arm 50%
• Policy Control 50%
• Reinforcement Learning 50%
• System Pole 50%
• Radial Basis Function Network 50%

Computer Science

• Robot 100%
• Radial Basis Function 100%
• Adaptive Control Systems 100%
• Reference Model 50%
• Reinforcement Learning 50%
• Mobile Robot 50%
• Tracking (Position) 50%