A Meta Reinforcement Learning-based Approach for Self-Adaptive System

Mathematics

• Reinforcement Learning 100%
• Adaptive Systems 92%
• Policy 65%
• Multiple Models 51%
• System Dynamics 47%
• Self-learning 46%
• Learning Systems 40%
• Adaptability 38%
• Learning 36%
• Dynamic Environment 20%
• High Performance 17%
• Incomplete Information 16%
• Robotics 16%
• Learning Algorithm 15%
• Machine Learning 14%
• Synthesis 12%
• Engineering 10%
• Evaluate 10%
• Modeling 8%
• Design 8%
• Model 4%

Business & Economics

• Reinforcement Learning 84%
• System Dynamics 41%
• Adaptive Learning 35%
• Adaptability 31%
• Machine Learning 17%
• Learning Algorithm 16%
• Robotics 15%
• Dynamic Environment 14%
• Incomplete Information 13%
• High Performance 12%
• Modeling 7%

Engineering & Materials Science

• Adaptive systems 73%
• Reinforcement learning 66%
• Dynamical systems 40%
• Learning algorithms 13%
• Robotics 12%
• Machine learning 12%