Research map / Learning theory and algorithms / Combinatorial and search optimization
Learning Differentiable Programs with Admissible Neural Heuristics
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use NEAR-guided IDDFS instead of top-down enumeration | enumeration · CRIM13-sniff | F1: .221 -> .446 | Helped |
| use NEAR-guided IDDFS instead of genetic algorithm | genetic algorithm · Fly-vs.-Fly | F1: .868 -> .892 | Helped |
| use NEAR-guided A* instead of top-down enumeration | enumeration · Bball-ballhandler | F1: .857 -> .918 | Helped |
| use NEAR-guided search instead of genetic algorithm | genetic algorithm · CRIM13-other | F1: .768 -> .768 | No clear effect |
| use NEAR-guided search instead of MCTS | MCTS · Bball-ballhandler | F1: .729 -> .903 | Helped |
| use NEAR-guided A* instead of enumeration | enumeration · CRIM13-sniff | accuracy: .851 -> .821 | Hurt |
| increase structural cost weight lambda from 1 to 8 (ablation) | A*-NEAR · CRIM13-sniff | F1: 0.46 -> 0.22 | Hurt |
| compare NEAR programs with RNN | RNN · Fly-vs.-Fly | F1: .964 -> .892 | Hurt |
Closest papers by meaning
- Differentiable Synthesis of Program Architectures (NeurIPS 2021 · similarity 0.91)
- Programming with a Differentiable Forth Interpreter (ICML 2017 · similarity 0.90)
- Differentiable Programs with Neural Libraries (ICML 2017 · similarity 0.89)
- Searching Latent Program Spaces (NeurIPS 2025 · similarity 0.85)
- Data-Efficient Learning with Neural Programs (NeurIPS 2024 · similarity 0.85)
- HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis (NeurIPS 2024 · similarity 0.85)
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