Reinforcement Learning on DMC100K easy tasks vector inputs (train/test)
529Cheetah-Run ScoreA2-winner
Evaluation results
| Method | Links | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| A2-winnerInput Type=vector, Number of Seeds=10, Evolution Search Domain=image-based tasks2022.10 | 529 | 790 | 272 | 866 | 634 | 818 | 935 | 932 | 616 | 964 | 586 | 177 | |
| A2-winner-vInput Type=vector, Number of Seeds=10, Evolution Search Domain=vector-based tasks2022.10 | 472 | 837 | 218 | 877 | 695 | 934 | 948 | 906 | 564 | 965 | 498 | 311 | |
| SAC-IdentityInput Type=vector, Number of Seeds=102022.10 | 237 | 805 | 347 | 873 | 455 | 697 | 940 | 873 | 559 | 954 | 471 | 14 | |
| CURLInput Type=vector, Number of Seeds=102022.10 | 190 | 712 | 43 | 854 | 446 | 749 | 767 | 852 | 289 | 941 | 295 | 6 | |
| SACInput Type=vector, Number of Seeds=102022.10 | 172 | 785 | 174 | 866 | 627 | 874 | 862 | 925 | 403 | 962 | 400 | 26 |