Continuous state and action Q-learning framework applied to quadrotor UAV control

Engineering

• Models 100%
• Continuous State 100%
• Q-Learning 100%
• Unmanned Aerial Vehicle 100%
• Loop Control 33%
• Reduced Order Model 33%
• Reference State 33%
• Offline Learning 33%
• Flight Test 33%
• Radial Basis Function 33%
• Rotorcraft 33%
• Derivative Controller 33%

INIS

• control 100%
• learning 100%
• neural networks 50%
• dynamics 25%
• distance 25%
• tracks 25%
• simulation 25%
• implementation 25%
• approximations 25%
• policy 25%
• performance 25%
• algorithms 25%
• neurons 25%
• signals 25%