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What is Time Series Prediction with Constraints about?

This document discusses enforcing constraints from dynamical systems during machine learning for time series prediction. It presents methods for enforcing constraints during supervised learning by adding them to the objective function, during unsupervised learning like GANs by augmenting the discriminator input, and during reinforcement learning by adding constraints to the reward function. It also introduces a novel approach for reinforcement learning using homotopy of the action-value function to stabiliz

Author

armiknk

Language

EN