From: Research on predicting 2D-HP protein folding using reinforcement learning with full state space
Sequence No. | Methods | 1 | 2 | 3 | 4 | 5 | AVG |
---|---|---|---|---|---|---|---|
5 | Full states | 8 | 10 | 8 | 7 | 6 | 8 |
Greedy algorithm | 7 | 7 | 8 | 5 | 7 | 7 | |
Partial states | 0 | 0 | 0 | 0 | 0 | 0 | |
6 | Full states | 3 | 8 | 3 | 1 | 6 | 4 |
Greedy algorithm | 9 | 11 | 6 | 3 | 10 | 8 | |
Partial states | 0 | 0 | 0 | 0 | 0 | 0 | |
7 | Full states | 7 | 4 | 3 | 3 | 3 | 4 |
Greedy algorithm | 7 | 5 | 7 | 9 | 9 | 7 | |
Partial states | 0 | 0 | 0 | 0 | 0 | 0 | |
8 | Full states | 7 | 8 | 8 | 11 | 5 | 8 |
Greedy algorithm | 2 | 3 | 2 | 6 | 2 | 3 | |
Partial states | 0 | 0 | 0 | 1 | 0 | 0 | |
9 | Full states | 5 | 4 | 1 | 3 | 2 | 3 |
Greedy algorithm | 0 | 0 | 0 | 1 | 1 | 0 | |
Partial states | 0 | 0 | 0 | 0 | 0 | 0 | |
10 | Full states | 14 | 12 | 11 | 15 | 12 | 13 |
Greedy algorithm | 12 | 9 | 9 | 17 | 8 | 11 | |
Partial states | 1 | 1 | 1 | 2 | 0 | 1 | |
11 | Full states | 3 | 7 | 2 | 3 | 4 | 4 |
Greedy algorithm | 4 | 0 | 0 | 2 | 1 | 1 | |
Partial states | 0 | 0 | 0 | 0 | 0 | 0 | |
12 | Full states | 9 | 7 | 8 | 6 | 8 | 8 |
Greedy algorithm | 2 | 5 | 2 | 5 | 2 | 3 | |
Partial states | 0 | 0 | 1 | 0 | 0 | 0 | |
13 | Full states | 0 | 2 | 2 | 3 | 4 | 2 |
Greedy algorithm | 0 | 0 | 0 | 0 | 0 | 0 | |
Partial states | 0 | 0 | 0 | 0 | 0 | 0 | |
14 | Full states | 2 | 0 | 1 | 1 | 2 | 1 |
Greedy algorithm | 0 | 0 | 0 | 0 | 0 | 0 | |
Partial states | 0 | 0 | 0 | 0 | 0 | 0 | |
15 | Full states | 2 | 4 | 5 | 2 | 2 | 3 |
Greedy algorithm | 0 | 0 | 0 | 0 | 0 | 0 | |
Partial states | 0 | 0 | 0 | 0 | 0 | 0 | |
16 | Full states | 1 | 2 | 4 | 5 | 1 | 2 |
Greedy algorithm | 1 | 0 | 0 | 0 | 0 | 0 | |
Partial states | 0 | 0 | 0 | 0 | 0 | 0 |