Abstract: Policy iteration (PI), an iterative method in reinforcement learning, has the merit of interactions with a little-known environment to learn a decision law through policy evaluation and ...
Abstract: In this article, we propose a model predictive control (MPC) algorithm using sequential convex programming (SCP) to address concave inequality constraints. Based on traditional SCP, we ...
A new AI developed at Duke University can uncover simple, readable rules behind extremely complex systems. It studies how ...
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