Research map / Multi-agent systems and games / Human-AI and goal-conditioned
Goal Recognition Design with Non-Observable Actions
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| increase ratio of non-observable actions from 0% to 20% | grd-po wcd · GRID | avg wcd: 10.36 -> 11.1 | Hurt |
| increase ratio of non-observable actions from 0% to 20% | grd-po wcd · GRID+ | avg wcd: 3.45 -> 3.84 | Hurt |
| increase ratio of non-observable actions from 0% to 20% | grd-po wcd · BLOCK | avg wcd: 2.06 -> 2.82 | Hurt |
| increase ratio of non-observable actions from 0% to 20% | grd-po wcd · LOG-Generated | avg wcd: 3.77 -> 4.87 | Hurt |
| use partially observable compilation instead of latest-split | wcd calculation · GRID+ | avg time (s): 3.53 -> 8.75 | Hurt |
| use partially observable compilation instead of latest-split | wcd calculation · GRID | avg time (s): 0.32 -> 0.32 | No clear effect |
| add sensor exposure to action removal in wcd reduction (ablation) | wcd reduction · GRID+ 10% | avg wcd: 1.87 -> 1.75 | Helped |
| add action removal to sensor exposure in wcd reduction (ablation) | wcd reduction · GRID+ 10% | avg wcd: 2.93 -> 1.75 | Helped |
| add sensor exposure to action removal in wcd reduction (ablation) | wcd reduction · GRID 10% | avg wcd: 9.76 -> 9.34 | Helped |
| add action removal to sensor exposure in wcd reduction (ablation) | wcd reduction · BLOCK 10% | avg wcd: 2.1 -> 1.58 | Helped |
| add action removal to sensor exposure in wcd reduction (ablation) | wcd reduction · LOG-Generated | avg wcd: 3.9 -> 3.34 | Helped |
| add sensor exposure to action removal in wcd reduction (ablation) | wcd reduction · LOG-Generated | avg wcd: 3.8 -> 3.34 | Helped |
Closest papers by meaning
- Extended Goal Recognition Design with First-Order Computation Tree Logic (AAAI 2022 · similarity 0.88)
- Stochastic Goal Recognition Design Problems with Suboptimal Agents (AAAI 2022 · similarity 0.88)
- An LP-Based Approach for Goal Recognition as Planning (AAAI 2021 · similarity 0.88)
- Active Goal Recognition (AAAI 2020 · similarity 0.87)
- Information Shaping for Enhanced Goal Recognition of Partially-Informed Agents (AAAI 2020 · similarity 0.84)
- Block-Level Goal Recognition Design (AAAI 2024 · similarity 0.84)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
