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Showing 1 to 1 of 1 for “"Machine Learning, Reinforcement Learning, Optimization"”.
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Efficient reinforcement learning through variance reduction and trajectory synthesis
Reinforcement learning is a general and unified framework that has been proven promising for many important AI applications, such as robotics, self-driving vehicles. However, current reinforcement learning algorithms suffer from large variance and sampling inefficiency, which leads to slow …