深度逆強化學習於資訊軌跡規劃(3/3)

Engineering & Materials Science

1. Reinforcement learning 89%
2. Set theory 85%
3. Compressed sensing 84%
4. Motion planning 70%
5. NP-hard 29%
6. Unmanned aerial vehicles (UAV) 27%
7. Learning algorithms 20%
8. Experiments 19%
9. Spraying 16%
10. Fourier transforms 14%
11. Robots 13%
12. Robotics 11%
13. Transfer learning 6%

Mathematics

1. Compressed Sensing 100%
2. Search Problems 36%
3. Sparse Coding 27%
4. Unmanned Aerial Vehicle 27%
5. Submodular Function 19%
6. Nonlinear Function 15%
7. Benchmark 14%
8. Fourier transform 12%
9. Experiment 11%
10. Demonstrate 8%