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Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning
Neural Information Processing Systems
Easily integrated, FamO2O statistically enhances existing algorithms' performance.
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Queueing Matching Bandits with Preference Feedback
Neural Information Processing Systems
In these systems, there are two sides: queues (agents) on one side and servers (arms) on the other.
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Stochastic contextual bandits with graph feedback: from independence number to MAS number Y uxiao Wen Y anjun Han
Neural Information Processing Systems
The framework of formulating the feedback structure as feedback graphs in bandits has a long history (Mannor and Shamir, 2011; Alon et al., 2015, 2017; Lykouris et al.,
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MO-DDN: A Coarse-to-Fine Attribute-based Exploration Agent for Multi-object Demand-driven Navigation
Neural Information Processing Systems
The process of satisfying daily demands is a fundamental aspect of humans' daily
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