Abstract: This article presents an inverse design with transfer learning based on neural network (ID-TL-NN) for the rapid design of electron guns, which expands the range of the structural parameter ...
Abstract: The Kleinman iteration is a policy iteration method for solving Riccati equations and forms the basis of many reinforcement learning (RL) algorithms. However, its direct application to ...
Researchers have found evidence that a therapeutic strategy which makes the brain work more efficiently to learn and recall ...
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Graph the inverse of a function
I make short, to-the-point online math tutorials. I struggled with math growing up and have been able to use those experiences to help students improve in math through practical applications and tips.
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using pseudo-inverse training. Compared to other training techniques, such as stochastic gradient descent, ...
Multi-Agent Inverse Reinforcement Learning in Real World Unstructured Pedestrian Crowds. Rohan Chandra, Haresh Karnan, Negar Mehr, Peter Stone, and Joydeep Biswas. In IEEE/RSJ International Conference ...
A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.
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