Research map / Bandits and online learning / Multi-armed bandits
Multiple-play Stochastic Bandits with Prioritized Arm Capacity Sharing
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
- Multiple-Play Stochastic Bandits with Shareable Finite-Capacity Arms (ICML 2022 · similarity 0.93)
- Observe Before Play: Multi-Armed Bandit with Pre-Observations (AAAI 2020 · similarity 0.89)
- Finite-Time Analysis of Round-Robin Kullback-Leibler Upper Confidence Bounds for Optimal Adaptive Allocation with Multiple Plays and Markovian Rewards (NeurIPS 2020 · similarity 0.89)
- Budget-Constrained Multi-Armed Bandits With Multiple Plays (AAAI 2018 · similarity 0.89)
- Regret Minimisation in Multi-Armed Bandits Using Bounded Arm Memory (AAAI 2020 · similarity 0.89)
- Combinatorial Stochastic-Greedy Bandit (AAAI 2024 · similarity 0.87)
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.
