Research map / Reinforcement learning / MDPs and planning
Experiment Planning with Function Approximation
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
- Design of Experiments for Stochastic Contextual Linear Bandits (NeurIPS 2021 · similarity 0.89)
- Myopic Posterior Sampling for Adaptive Goal Oriented Design of Experiments (ICML 2019 · similarity 0.88)
- Active Context Selection Improves Simple Regret in Contextual Bandits (NeurIPS 2026 · similarity 0.87)
- Infrequent Exploration in Linear Bandits (NeurIPS 2025 · similarity 0.87)
- Sample-Efficiency in Multi-Batch Reinforcement Learning: The Need for Dimension-Dependent Adaptivity (ICLR 2024 · similarity 0.86)
- Cost-Aware Near-Optimal Policy Learning (AAAI 2025 · similarity 0.86)
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.