In many real-world reinforcement learning (RL) problems, besides optimizing the main objective function, an agent must concurrently avoid violating a number of constraints. In particular, besides optimizing performance, it is crucial to guarantee the safety of an agent during training as well as deployment (e.g., a robot should avoid taking actions - exploratory or not - which irrevocably harm its hardware). To incorporate safety in RL, we derive algorithms under the framework of constrained Markov decision processes (CMDPs), an extension of the standard Markov decision processes (MDPs) augmented with constraints on expected cumulative costs.

The most widely used technology to identify the proteins present in a complex biological sample is tandem mass spectrometry, which quickly produces a large collection of spectra representative of the peptides (i.e., protein subsequences) present in the original sample.

The new AI-DADA tool lets you create a unique Swatch design using AI prompts. You can't make a custom MoonSwatch yet--but it's not entirely off the table. Cast your mind back to 2017. In those heady days before ChatGPT and DALL-E, and Zoom calls, Swatch launched a fancy online platform that let you, the watch-buying public, design your own Swatch watch . It was called Swatch x You, and it let you tweak Swatch's standard New Gent 41-mm model by selecting one of the (surprisingly limited) preset designs, which you could then move, zoom, and rotate to fit over the watch and strap.

Risk management in dynamic decision problems is a primary concern in many fields, including financial investment, autonomous driving, and healthcare.

Matrix Factorization model incorporated with m etadata influence (mGDMF).

Neural Information Processing Systems http://nips.cc/

We consider deep policy learning with only batched historical trajectories. The main challenge of this problem is that the learner no longer has a simulator or "environment oracle" as in most reinforcement learning settings.

M queries that do not depend on any others is O ( p M) .

This material may not be published, broadcast, rewritten, or redistributed. Quotes displayed in real-time or delayed by at least 15 minutes. Market data provided by Factset . Powered and implemented by FactSet Digital Solutions . Mutual Fund and ETF data provided by Refinitiv Lipper .

Neural Information Processing Systems http://nips.cc/