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Found 5 papers, 1 papers with code
Sample Efficient Reinforcement Learning from Human Feedback via Active Exploration
Preference-based feedback is important for many applications in reinforcement learning where direct evaluation of a reward function is not feasible.
Kernelized Offline Contextual Dueling Bandits
Preference-based feedback is important for many applications where direct evaluation of a reward function is not feasible.
Best Arm Identification under Additive Transfer Bandits
We consider a variant of the best arm identification (BAI) problem in multi-armed bandits (MAB) in which there are two sets of arms (source and target), and the objective is to determine the best target arm while only pulling source arms.
A Design Methodology for Efficient Implementation of Deconvolutional Neural Networks on an FPGA
In support of such applications, various FPGA accelerator architectures have been proposed for convolutional neural networks (CNNs) that enable high performance for classification tasks at lower power than CPU and GPU processors.
A Nonparametric Framework for Quantifying Generative Inference on Neuromorphic Systems
Restricted Boltzmann Machines and Deep Belief Networks have been successfully used in probabilistic generative model applications such as image occlusion removal, pattern completion and motion synthesis.
