Reinforcement Learning on InvertedPendulum v2
1,000Mean Reward
TTOpt
Updated 11d ago
Evaluation Results
| Method | Links | ||
|---|---|---|---|
2022.04 | 1,000 | 0 | |
2022.04 | 1,000 | 0 | |
2026.04 | 964.3 | - | |
2026.04 | 949.8 | - | |
2026.04 | 945.5 | - | |
2026.04 | 937.3 | - | |
2026.04 | 935.7 | - | |
2026.04 | 932.2 | - | |
2026.04 | 925.5 | - | |
2026.04 | 919.7 | - | |
2022.04 | 893 | 283.1 | |
2026.04 | 764.5 | - | |
2022.04 | 721 | 335.37 | |
2026.04 | 714.2 | - | |
2022.04 | 651.86 | 436.37 | |
2026.04 | 637.3 | - | |
2022.04 | 621 | 472.81 | |
2026.04 | 597.3 | - | |
2026.04 | 568.1 | - | |
2026.04 | 340.7 | - | |
2022.04 | 224.71 | 217.51 | |
2022.04 | 222.86 | 342.79 | |
2026.04 | 67.7 | - | |
2026.04 | 32.1 | - | |
2026.04 | 24.3 | - | |
2026.04 | 20.7 | - | |
2026.04 | 19.4 | - |