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Generative Model for Material Experiments Based on Prior Knowledge and Attention Mechanism
In this paper, we propose a generative adversarial model based on prior knowledge and attention mechanism to achieve the generation of irradiated material images (data-to-image model), and a prediction model for corresponding industrial performance (image-to-data model).
Orthogonal Policy Gradient and Autonomous Driving Application
One less addressed issue of deep reinforcement learning is the lack of generalization capability based on new state and new target, for complex tasks, it is necessary to give the correct strategy and evaluate all possible actions for current state.
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