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pro vyhledávání: '"Bing, Selina"'
In traditional reinforcement learning, an agent maximizes the reward collected during its interaction with the environment by approximating the optimal policy through the estimation of value functions. Typically, given a state s and action a, the cor
Externí odkaz:
http://arxiv.org/abs/1806.06914
In recent years, convolutional neural networks (CNN) have played an important role in the field of deep learning. Variants of CNN's have proven to be very successful in classification tasks across different domains. However, there are two big drawbac
Externí odkaz:
http://arxiv.org/abs/1712.03480