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Abstract: In this article, an optimal position control framework based on online adaptive dynamic programming is proposed for magnetically actuated capsules (MACs). First, sensorless magnetic force ...
Abstract: Dynamic programming is a classical optimization technique that systematically decomposes a complex problem into simpler sub-problems to find an optimal solution. We explore the use of ...
Abstract: This article presents an efficient method for solving the optimal tracking control policy of unmanned surface vehicles (USVs) using a hybrid adaptive dynamic programming (ADP) approach. This ...
Across industries, pricing strategies are quietly shifting. What was once a predictable rhythm of annual increases is now giving way to continuous, incremental adjustments—and, in some cases, fully ...
Abstract: This article investigates the leader-follower consensus for nonlinear multiagent systems (MASs) and proposes an adaptive dynamic programming (ADP)-based hierarchical Stackelberg-Nash optimal ...
Abstract: In this study, an adaptive dynamic programming (ADP)-based optimal backstepping control (OBC) method is proposed for robotic manipulators with unknown dynamics. The original second-order ...
Developers are navigating confusing gaps between expectation and reality. So are the rest of us. Depending who you ask, AI-powered coding is either giving software developers an unprecedented ...
Lawmakers are aiming to crack down on so-called “dynamic pricing” in the wake of a jaw-dropping report showing that grocery delivery app Instacart charged shoppers different prices for the same items ...
If you feel like you’re being nickel-and-dimed everywhere you shop – you probably are. Instacart has been using a shady AI algorithm that charges different prices to different customers on the same ...
Abstract: A differential dynamic programming (DDP)-based framework for inverse reinforcement learning (IRL) is introduced to recover the parameters in the cost function, system dynamics, and ...
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