Intelligent Decision Making Based on the Combination of Deep Reinforcement Learning and an Influence Map

Intelligent Decision Making Based on the Combination of Deep Reinforcement Learning and an Influence Map

Almost all recent deep reinforcement learning algorithms use four consecutive frames as the state space to retain the dynamic information. If the training state data constitute an image, the state space is used as the input of the neural network for training. As an AI-assisted decision-making techno...

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Bibliographic Details
Main Authors: Xiaofeng Lu, Ao Xue, Pietro Lio, Pan Hui
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Applied Sciences
Subjects:
reinforcement learning
deep reinforcement learning
influence map
sparse reward
Online Access:https://www.mdpi.com/2076-3417/12/22/11458

Internet

https://www.mdpi.com/2076-3417/12/22/11458

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