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
- 15 July 2020
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 More >
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