Exploring Deep Reinforcement Learning for Robust Target Tracking Using Micro Aerial Vehicles

Engineering

• Target Tracking 100%
• Reinforcement Learning 100%
• Experimental Result 50%
• Cooperative 50%
• Output Feedback 50%
• Feedback Control System 50%
• Relative Position 50%
• Control Scheme 50%
• State Information 50%
• Randomization 50%

Computer Science

• Deep Reinforcement Learning 100%
• Experimental Result 50%
• Learning Process 50%
• State Information 50%
• output feedback control 50%
• Relative Position 50%

Keyphrases

• Robust Target Tracking 100%
• Off-nominal 33%
• Flying Target 33%
• Technological Requirements 33%
• Non-cooperative Target 33%