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Found 5 papers, 1 papers with code
Enhancing Worker Recruitment in Collaborative Mobile Crowdsourcing: A Graph Neural Network Trust Evaluation Approach
The worker recruitment problem is modeled as an Undirected Complete Recruitment Graph (UCRG), for which a specific Tabu Search Recruitment (TSR) algorithm solution is proposed.
High-Resolution Pelvic MRI Reconstruction Using a Generative Adversarial Network with Attention and Cyclic Loss
Magnetic resonance imaging (MRI) is an important medical imaging modality, but its acquisition speed is quite slow due to the physiological limitations.
Transfer Learning Enhanced Generative Adversarial Networks for Multi-Channel MRI Reconstruction
The transfer learning results for the knee and liver were superior to those of the PI-GAN model trained with its own dataset using a smaller number of training cases.
Maximum Entropy Diverse Exploration: Disentangling Maximum Entropy Reinforcement Learning
A theoretical investigation shows that the set of policies learned by MEDE capture the same modalities as the optimal maximum entropy policy.
Diverse Exploration via Conjugate Policies for Policy Gradient Methods
We address the challenge of effective exploration while maintaining good performance in policy gradient methods.
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