Results 161 to 170 of about 937,585 (275)
A Non-stationary Infinite Partially-Observable Markov Decision Process
Partially Observable Markov Decision Processes (POMDPs) have been met with great success in planning domains where agents must balance actions that provide knowledge and actions that provide reward. Recently, nonparametric Bayesian methods have been successfully applied to POMDPs to obviate the need of a priori knowledge of the size of the state space,
Kosmopoulos, Dimitrios I.+1 more
openaire +3 more sources
Value-Function Approximations for Partially Observable Markov Decision Processes
Miloš Hauskrecht
openalex +2 more sources
Artificial Intelligence‐Assisted Experimental Optimization of Water Oxidation Catalysts
The use of active learning techniques is explored to optimize the startup phase of bulk nickel electrodes in the oxygen evolution reaction. The created dataset is utilized, dimension reduction is applied, and the information learned through an artificial neural network is extracted with an optimization routine.
Henrik Spitzenpfeil+4 more
wiley +1 more source
TCM‐Suite platform is composed of two sub‐databases, Holmes‐Suite and Watson‐Suite. Holmes‐Suite database covers six marker genes, resulting in 235,470 kinds of biological ingredients. Watson‐Suite retrieved massive data for mining the “herb‐compound‐protein‐disease” interpretation.
Pengshuo Yang+8 more
wiley +1 more source
In recent years, penetration testing (pen‐testing) has emerged as a crucial process for evaluating the security level of network infrastructures by simulating real‐world cyber‐attacks.
Zegang Li, Qian Zhang, Guangwen Yang
doaj +1 more source
Over two decades of research on the marine RNA virosphere
Advances in meta‐omics provide a surge of marine RNA virus information. Deep marine virus discovery contributes greatly to the megataxonomy of RNA viruses. Understanding diversity and biogeography helps reveal the significance of marine RNA viruses, including evolutionary trajectories, hierarchical taxonomy, and ecological importance.
Meng‐en Liao+3 more
wiley +1 more source
Diversifying agent's behaviors in interactive decision models
Abstract Modeling other agents' behaviors plays an important role in decision models for interactions among multiple agents. To optimize its own decisions, a subject agent needs to model what other agents act simultaneously in an uncertain environment.
Yinghui Pan+5 more
wiley +1 more source