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Dual policy as self-model for planning
In such dual-policy agents, a model-free policy and a distilled policy are used for model-free actions and planned actions, respectively.
Review Learning: Alleviating Catastrophic Forgetting with Generative Replay without Generator
When a deep learning model is sequentially trained on different datasets, it forgets the knowledge acquired from previous data, a phenomenon known as catastrophic forgetting.
On the Performance of Generative Adversarial Network (GAN) Variants: A Clinical Data Study
Generative Adversarial Network (GAN) is a useful type of Neural Networks in various types of applications including generative models and feature extraction.
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