Abstract: Existing algorithms for estimating the model parameters of an explicit-duration hidden Markov model (HMM) usually require computations as large as O((MD/sup 2/ + M/sup 2/)T) or O(M/sup 2/ DT ...
Abstract: In this paper, we study reinforcement learning (RL) algorithms based on a perspective of performance sensitivity analysis for SMDPs with average reward. We present the results about ...
Aerospace and Mechanical Insider on MSN

Hierarchical reinforcement learning boosts air defense efficiency

Modern air defense confrontations demand rapid, precise task assignments in environments where threats evolve within seconds.
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Aerospace and Mechanical Insider on MSN

Landmark-driven DRL boosts mobile robot navigation

Mobile robots are increasingly deployed in applications ranging from household cleaning to hazardous industrial inspection, ...
Spread the love“`html In our digital age, compressed files have become a staple for transferring and storing data efficiently. Among the various formats available, 7z files stand out due to their ...
MDPs and Multi-Armed Bandits: An Overview A self-contained survey of Markov-based sequential decision-making, spanning from Markov's original study of dependent random variables (1906) through Bellman ...
In this photo illustration, the DeepSeek app is displayed on an iPhone screen on January 27, 2025 in San Anselmo, California. Newly launched Chinese AI app DeepSeek has surged to number one in Apple's ...
Many of the insights hitting soccer pitches today trace back to Jesse Davis and a team of computer scientists open-sourcing tools for some of the sport’s trickiest problems.
Background N-terminal pro-B-type natriuretic peptide (NT-proBNP) is a key test in primary care to inform which people with ...
After several examples of undisclosed alterations in reagent suppliers’ antibody catalogues surfaced, researchers call for transparency to rebuild trust.