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pro vyhledávání: '"Kakadiya, Ashutosh"'
Contextual bandits algorithms have become essential in real-world user interaction problems in recent years. However, these algorithms rely on context as attribute value representation, which makes them unfeasible for real-world domains like social n
Externí odkaz:
http://arxiv.org/abs/2012.09220
Autor:
Patel, Shreyas, Kakadiya, Ashutosh, Mehta, Maitrey, Derasari, Raj, Patel, Rahul, Gandhi, Ratnik
Generative Adversarial Networks (GAN) have shown great promise in tasks like synthetic image generation, image inpainting, style transfer, and anomaly detection. However, generating discrete data is a challenge. This work presents an adversarial trai
Externí odkaz:
http://arxiv.org/abs/1804.00925
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:12123-12130
Contextual bandits algorithms have become essential in real-world user interaction problems in recent years. However, these algorithms rely on context as attribute value representation, which makes them unfeasible for real-world domains like social n