Abstract
This chapter starts by covering the basic concepts involved in reinforcement learning and then describes how to solve reinforcement learning tasks by using basic and deep learning-based solutions. It also provides a brief overview of the typical algorithms central to the deep learning-based solutions, namely DQN, DDPG, and A3C.
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Lei, C. (2021). Deep Reinforcement Learning. In: Deep Learning and Practice with MindSpore. Cognitive Intelligence and Robotics. Springer, Singapore. https://doi.org/10.1007/978-981-16-2233-5_10
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DOI: https://doi.org/10.1007/978-981-16-2233-5_10
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