Research map / Continual learning / Online and replay-based
Continual Planning in Golog
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use FF+FastDownward ensemble planner instead of FastDownward alone (ablation) | GOLOG CP · Task 2, 5 cups | total planning time (s): (183.7±1.9) s -> (0.95 ± 0.02) s | Helped |
| use FF+FastDownward ensemble planner instead of FastDownward alone (ablation) | GOLOG CP · Task 1, 2 cups | total planning time (s): (634.5 ± 4.1) s -> (2.23 ± 0.02) s | Helped |
| replace GKI CP (PDDL continual planner) with GOLOG continual planning | continual planner · Task 2, 5 cups | total planning time (s): (278.1 ± 19.9) s -> (0.95 ± 0.02) s | Helped |
| replace GKI CP with GOLOG continual planning | continual planner · Task 2 | plan quality (actions): 65.0 ± 3.4 -> 62.0±0.0 | No clear effect |
| add assertions for conditional sub-plans (ablation) | GOLOG CP · Task 1, larger problems | total planning time (s): (326.5 ± 4.9) s (6 cups, none) vs (10.0 ± 0.06) s (10 cups, with) | Helped |
| add assertions for conditional sub-plans (ablation) | GOLOG CP · Task 1, small problems | total planning time (s) | Hurt |
| add assertions for conditional sub-plans (ablation) | GOLOG CP · Task 1, 6 cups | number of actions: 93.0 ± 0.0 -> 90.0 ± 0.0 | No clear effect |
Closest papers by meaning
- Zero-Shot Trajectory Planning for Signal Temporal Logic Tasks (NeurIPS 2025 · similarity 0.85)
- Hierarchical Planning for Complex Tasks with Knowledge Graph-RAG and Symbolic Verification (ICML 2025 · similarity 0.85)
- SAGAS: Semantic-Aware Graph-Assisted Stitching for Offline Temporal Logic Planning (NeurIPS 2026 · similarity 0.85)
- Leveraging Environment Interaction for Automated PDDL Translation and Planning with Large Language Models (NeurIPS 2024 · similarity 0.84)
- UniDomain: Pretraining a Unified PDDL Domain from Real-World Demonstrations for Generalizable Robot Task Planning (NeurIPS 2025 · similarity 0.84)
- TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching (ICML 2025 · similarity 0.84)
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