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Found 4 papers, 1 papers with code
Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training
In particular, the learning rate, which can be interpreted as a temperature-like parameter within the statistical mechanics of learning, plays a crucial role in neural network training.
PCL-Indexability and Whittle Index for Restless Bandits with General Observation Models
In this paper, we consider a general observation model for restless multi-armed bandit problems.
Low-Complexity Algorithm for Restless Bandits with Imperfect Observations
Restless bandit problems with even finite state spaces are PSPACE-HARD in general.
The Extended UCB Policies for Frequentist Multi-armed Bandit Problems
The multi-armed bandit (MAB) problem is a widely studied model in the field of reinforcement learning.
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