Wei Fang1, 2, 3, ∗, Lin Pang1, Weinan Yi1
Journal on Artificial Intelligence, Vol.2, No.1, pp. 39-58, 2020, DOI:10.32604/jai.2020.09789
Abstract In recent years, with the rapid development of human society, more and more
complex tasks have emerged that require deep learning to automatically extract abstract
feature representations from a large amount of data, and use reinforcement learning to learn
the best strategy to complete the task. Through the combination of deep learning and
reinforcement learning, end-to-end input and output can be achieved, and substantial
breakthroughs have been made in many planning and decision-making systems with
infinite states, such as games, in particular, AlphaGo, robotics, natural language processing,
dialogue systems, machine translation, and computer vision. In this paper we have
summarized… More >
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