| CEC 100D 2017 | DoS | Mean Value2,093.826 | | 80 | 19d ago |
| Ackley | meanBEEBO | Avg Max Reward0.993 | | 12 | 1mo ago |
| Camel3 | GEGO | Mean Performance0 | | 10 | 1mo ago |
| Matya | GEGO | Mean0 | | 10 | 1mo ago |
| Chemistry function strict tolerance level | ei_meta_off | Converged Runs6 | | 9 | 9d ago |
| Chemistry function medium tolerance level | ei_BOSS_on_gam_Mat52 | Converged Runs6 | | 9 | 9d ago |
| DUST1 medium tolerance | ei_penalty_HITL_explore | Converged Runs10 | | 6 | 9d ago |
| DUST2 loose tolerance level | lcb_penalty_HITL_explore | Converged Runs9 | | 6 | 9d ago |
| DUST1 function loose tolerance | ei_penalty | Composite Score0.051 | | 6 | 9d ago |
| DUST1 strict tolerance | lcb_penalty_HITL_explore | Converged Runs10 | | 6 | 9d ago |
| DUST2 function (strict tolerance) | lcb_penalty_HITL_explore | Converged Runs8 | | 6 | 9d ago |
| Ackley 64 | GI-PPO | Avg Max Reward-0.0036 | | 5 | 1mo ago |
| Dejong 64 | RP | Avg Max Reward-0 | | 5 | 1mo ago |
| Dejong | GI-PPO | Average Maximum Reward-0 | | 5 | 1mo ago |
| NIGHTMARE difficulty functions 50 samples (test) | Neural Model | Mean Error8.05 | | 2 | 12d ago |
| 20D Sphere Coarse threshold | AS-CMA | Convergence Rate0 | | 1 | 1mo ago |
| 20D Sphere Fine threshold | AS-CMA | Convergence Rate0 | | 1 | 1mo ago |
| 4D Levy Coarse threshold | AS-CMA | Convergence Rate0 | | 1 | 1mo ago |
| 4D Levy Fine threshold | AS-CMA | Convergence Rate124 | | 1 | 1mo ago |
| 4D Rosenbrock Coarse threshold | AS-CMA | Convergence Rate0 | | 1 | 1mo ago |
| 4D Ankle Coarse threshold | AS-CMA | Convergence Rate0 | | 1 | 1mo ago |
