Abstract: This article proposes a data-driven model-free inverse Q-learning algorithm for continuous-time linear quadratic regulators (LQRs). Using an agent’s trajectories of states and optimal ...

Abstract: In this article, a novel value iteration scheme is developed with convergence and stability discussions. A relaxation factor is introduced to adjust the convergence rate of the value ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

To unlock the next level of manufacturing—the one that is knocking on our door right now—we must learn to use process and ...

To generate the static and the shared library type: ...

Everything costs more this year, and phones are no exception. But the real shocker isn’t that prices are higher—it’s that the ...

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One pattern is worth watching: Partnership activity is not spreading evenly across the market; it is coalescing around a ...

Researchers warn that repeated AI summarization, rewriting, and synthesis can gradually erode the original knowledge, context ...

A complete list of papers about adversarial examples It appears that the List of All Adversarial Example Papers has been experiencing crashes over the past few days. In the absence of this valuable ...

The entry-level job market has never been tougher. Here are the power skills every 2026 college grad needs to get hired, ...

Genomic testing has transformed the diagnosis of rare disease, but even with this advancement, more than half of patients remain undiagnosed after their first test. This is because our knowledge of ...