Reinforcement Learning on LunarLander Continuous v3
6.6Arrival Time (T=200)ZIG-EDA
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| ZIG-EDA2026.06 | 6.6 | 7.8 | 20.5 | |
| Sparse EA2026.06 | 8.2 | 10.3 | 36.8 | |
| Dense EDA2026.06 | 9.3 | 12.3 | 38 | |
| Ad-hoc sparse EDA2026.06 | 11 | 14 | 43.67 |
| Method | Links | |||
|---|---|---|---|---|
| ZIG-EDA2026.06 | 6.6 | 7.8 | 20.5 | |
| Sparse EA2026.06 | 8.2 | 10.3 | 36.8 | |
| Dense EDA2026.06 | 9.3 | 12.3 | 38 | |
| Ad-hoc sparse EDA2026.06 | 11 | 14 | 43.67 |