Research map / Bandits and online learning / Multi-armed bandits
Bandit Learning with Joint Effect of Incentivized Sampling, Delayed Sampling Feedback, and Self-Reinforcing User Preferences
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
- Bandits Meet Mechanism Design to Combat Clickbait in Online Recommendation (ICLR 2024 · similarity 0.90)
- Near-Optimal Stochastic Linear Bandits with Delay (NeurIPS 2026 · similarity 0.89)
- Delay as Payoff in MAB (AAAI 2025 · similarity 0.89)
- Bandits with Ranking Feedback (NeurIPS 2024 · similarity 0.88)
- DOPL: Direct Online Preference Learning for Restless Bandits with Preference Feedback (ICLR 2025 · similarity 0.88)
- Online Learning of Delayed Choices (NeurIPS 2024 · similarity 0.88)
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.
