Mean-Field Multiagent Reinforcement Learning: A Decentralized Network Approach.

A novel lightweight real-time traffic sign detection method based on an embedded device and YOLOv8.

Unified continuous-time q-learning for mean-field game and mean-field control problems.

Training-Free Robust Interactive Video Object Segmentation.

Seismic First Break Picking in a Higher Dimension Using Deep Graph Learning.

Graphon mean-field control for cooperative multi-agent reinforcement learning.

Dynamic Programming Principles for Mean-Field Controls with Learning.

Mean-Field-Aided Multiagent Reinforcement Learning for Resource Allocation in Vehicular Networks.

From Bandits Model to Deep Deterministic Policy Gradient, Reinforcement Learning with Contextual Information.

Continuous-Time q-learning for McKean-Vlasov Control Problems.

Leveraging Uncertainty Quantification for Picking Robust First Break Times.

High Spatiotemporal Resolution PM2.5 Concentration Estimation with Machine Learning Algorithm: A Case Study for Wildfire in California.

MSSPN: Automatic First Arrival Picking using Multi-Stage Segmentation Picking Network.

Thompson Sampling on Asymmetric α-Stable Bandits.

Mean-Field Controls with Q-Learning for Cooperative MARL: Convergence and Complexity Analysis.

Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach.

Multi-source hierarchical data fusion for high-resolution AOD mapping in a forest fire event.

A Comparative Assessment of Multisensor Data Merging and Fusion Algorithms for High-Resolution Surface Reflectance Data.

Individual identification of dairy cows based on convolutional neural networks.

MFFW: A new dataset for multi-focus image fusion.

Q-Learning for Mean-Field Controls.

Prediction of the diet energy digestion using kernel extreme learning machine: A case study with Holstein dry cows.

Retrodirective Antenna for Inter-Satellite Data Transmission.

Reconstruction of sea-land interactions between terrestrial vegetation cover and water quality constituents in the Mattapoisett Harbor area during the 1991 Hurricane Bob event.

Dynamic Programming for Optimal Control of Stochastic McKean-Vlasov Dynamics.

MetPP: a computational platform for comprehensive two-dimensional gas chromatography time-of-flight mass spectrometry-based metabolomics.

A method of finding optimal weight factors for compound identification in gas chromatography-mass spectrometry.

Symbolic computation of exact solutions for the compound KdV-Sawada-Kotera equation.