Enhancing Q‐Learning via State‐Space Design for Active Battery Balancing
This study investigates the profound impact of state definition on the efficacy of Q‐learning for active battery balancing in lithium‐ion battery packs. We define and evaluate three distinct state representations—[State 1, 11‐state space definition], [State 2, 27‐state space definition], and [State 3, 81‐state space definition]—within a reinforcement ...
Fatemeh Ebrahimabadi +2 more
wiley +1 more source
Evaluating China's carbon neutrality capacity a comprehensive spatiotemporal analysis within the SDGs framework. [PDF]
Shi X, Zhang H, Zhang J, Zheng L.
europepmc +1 more source
Estimates of Dirichlet heat kernel for symmetric Markov processes [PDF]
T. Grzywny, Kyung-Youn Kim, P. Kim
semanticscholar +1 more source
Bayesian Inference for Spatially‐Temporally Misaligned Data Using Predictive Stacking
ABSTRACT Air pollution remains a major environmental risk factor that is often associated with adverse health outcomes. However, quantifying and evaluating its effects on human health is challenging due to the complex nature of exposure data. Recent technological advances have led to the collection of various indicators of air pollution at increasingly
Soumyakanti Pan, Sudipto Banerjee
wiley +1 more source
Spatiotemporal evolution and analysis of influencing factors of low-carbon economy in China's Yangtze River Delta based on nighttime light remote sensing data. [PDF]
Jiang J.
europepmc +1 more source
Triangular norm-based measures and their Markov kernel representation
D. Butnariu, E. Klement
semanticscholar +1 more source
Forecasting Carbon Prices: A Literature Review
ABSTRACT Carbon emissions trading is utilized by a growing number of states as a significant tool for addressing greenhouse gas emissions (GHG), global warming problem and the climate crisis. Accurate forecasting of carbon prices is essential for effective policy design and investment strategies in climate change mitigation.
Konstantinos Bisiotis +2 more
wiley +1 more source
The coupling coordination between digital village construction and rural healthcare service efficiency in China: dynamic evolution, spatial difference and driving factors. [PDF]
Wang K, Ding B, Huang X, Pang H, Hu J.
europepmc +1 more source
On the Markov Transition Kernels for First Passage Percolation on the Ladder [PDF]
Eckhard Schlemm
openalex +1 more source
A comprehensive review of cluster methods for drug–drug interaction network
Abstract The detection of drug–drug interaction (DDI) is crucial to the rational use of drug combinations. Experimentally, DDI detection is time‐consuming and laborious. Currently, researchers have developed a variety of computational methods to predict DDI.
Shuyuan Cao +3 more
wiley +1 more source

