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  • Generative Adversarial Networks

Generative Adversarial Networks

GAN-MPC: Training Model Predictive Controllers with Parameterized Cost Functions using Demonstrations from Non-identical Experts

Publications

Model Predictive Control (MPC) is widely used for trajectory optimization in robotics. This paper introduces a novel approach, using a generative adversarial network (GAN), to train Learnable-MPC policy when the …

Tags: Model Predictive Control, Generative Adversarial Networks

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Founded in 2024, the School brings together several faculty with expertise in various areas of Data Science and AI, to work together on impactful problems of direct relevance to the society.

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