LIU Jialin, Prof.

Computer Science

1. Artificial Intelligence 100%
2. Reinforcement Learning 92%
3. videogame 72%
4. Game Playing 68%
5. Evolutionary Algorithm 60%
6. Optimization Problem 58%
7. Multiobjective 52%
8. Tree Search 43%
9. Optimization Algorithm 37%
10. Routing Problem 33%
11. Selection Operator 33%
12. Interactivity 32%
13. Problem Instance 32%
14. Search Space 27%
15. Location Problem 25%
16. Large Language Model 25%
17. Vehicle Routing 25%
18. multi-objective evolutionary algorithm 25%
19. Machine Learning 24%
20. Learning System 24%
21. Evaluation Metric 22%
22. Selection Method 22%
23. Combinatorial Optimization Problem 21%
24. Computational Resource 21%
25. Multi-Objective Optimization 20%
26. AI Agent 20%
27. Education 20%
28. Confidence Bound 20%
29. Machine Learning Model 19%
30. Experimental Result 18%
31. Probability 18%
32. Decision Maker 18%
33. Objective Function 17%
34. Genetic Algorithm 17%
35. Computational Power 16%
36. Surrogate-Assisted Evolutionary Algorithm 16%
37. Many-Objective Optimization 16%
38. Generative Adversarial Networks 16%
39. Nash Equilibrium 16%
40. Autonomous Driving 16%
41. evolutionary optimization 16%
42. Memetic Algorithm 16%
43. Particle Swarm Optimization 16%
44. Lifelong Learning 16%
45. Game Design 16%
46. Learning Framework 15%
47. Fitness Evaluation 14%
48. Case Study 13%
49. Combinatorial Optimisation 13%
50. Unfairness 13%