Research map / Optimization / Optimizers
Differentiable Quality Diversity
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use CMA-MEGA instead of derivative-free MAP-Elites (line) | Linear Projection · LP (sphere) | QD-score: 12.21 -> 75.29 | Helped |
| use CMA-MEGA instead of derivative-free MAP-Elites (line) | Linear Projection · LP (Rastrigin) | QD-score: 8.12 -> 62.54 | Helped |
| use CMA-MEGA instead of OG-MAP-Elites (line) | Arm Repertoire · Arm Repertoire | QD-score: 59.66 -> 74.18 | Helped |
| use Adam for CMA-MEGA updates | CMA-MEGA · LSI | QD-score: 5.36 -> 21.82 | Helped |
| use Adam for CMA-MEGA updates | CMA-MEGA · LP (sphere) | QD-score: 75.29 -> 75.30 | No clear effect |
| use Adam for CMA-MEGA updates | CMA-MEGA · Arm Repertoire | QD-score: 74.18 -> 73.82 | No clear effect |
| add gradient normalization (ablation) | OMG-MEGA · LP (sphere) | QD-score: 56.96 ± 0.24 -> 71.58 ± 0.10 | Helped |
| add gradient normalization (ablation) | OMG-MEGA · LP (Rastrigin) | QD-score: 16.56 ± 0.11 -> 55.90 ± 0.21 | Helped |
| add gradient normalization (ablation) | OMG-MEGA · Arm Repertoire | QD-score: 0.85 ± 0.04 -> 44.12 ± 0.06 | Helped |
| adapt gradient coefficients with CMA-ES rather than using fixed-distribution coefficients | MEGA · LP (sphere) | QD-score: 71.58 -> 75.29 | Helped |
| adapt gradient coefficients with CMA-ES rather than using fixed-distribution coefficients | MEGA · LP (Rastrigin) | QD-score: 55.90 -> 62.54 | Helped |
Closest papers by meaning
- Quality-Diversity with Limited Resources (ICML 2024 · similarity 0.87)
- Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning (ICLR 2024 · similarity 0.86)
- Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization (ICML 2024 · similarity 0.85)
- Diversity By Design: Leveraging Distribution Matching for Offline Model-Based Optimization (ICML 2025 · similarity 0.84)
- Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization (ICML 2024 · similarity 0.84)
- Differentiation Through Black-Box Quadratic Programming Solvers (NeurIPS 2025 · similarity 0.83)
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