Research map / Learning theory and algorithms / Combinatorial and search optimization
Deterministic versus Probabilistic Methods for Searching for an Evasive Target
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.
Closest papers by meaning
- Online POMDP Planning with Anytime Deterministic Guarantees (NeurIPS 2023 · similarity 0.84)
- Multi-Objective Multi-Agent Planning for Jointly Discovering and Tracking Mobile Objects (AAAI 2020 · similarity 0.84)
- Reference-Based POMDPs (NeurIPS 2023 · similarity 0.83)
- Augmented Bayesian Policy Search (ICLR 2024 · similarity 0.83)
- PDPO: Parametric Density Path Optimization (NeurIPS 2025 · similarity 0.82)
- A2Seek: Towards Reasoning-Centric Benchmark for Aerial Anomaly Understanding (NeurIPS 2025 · similarity 0.82)
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.