GitHub

Quantile Reward Policy Optimization: Alignment with Pointwise Regression and Exact Partition Functions

This is a reference implementation and will not be actively maintained in the future. The code in this repository is a refactored version of the codebase we used to produce the results in the paper ...
GitHub

Hierarchical Patch Based Transformer with Learnable Weighted Loss Optimization for Multivariate Time Series Forecasting (HPBTF)

Forecasting, a fundamental task in machine learning, involves predicting future values of a time series based on its historical behavior. This paper introduces a novel Hierarchical Patch Based ...
IEEE

A Surrogate-Assisted Expensive Constrained Multi-Objective Optimization Algorithm Based on Adaptive Switching of Acquisition Functions

Abstract: Expensive constrained multi-objective optimization problems (ECMOPs) present a significant challenge to surrogate-assisted evolutionary algorithms (SAEAs) in effectively balancing ...
IEEE

Multivariable Prediction of Blast Furnace Status Driven by Data

Abstract: The generalized regression neural network (GRNN) combined with particle swarm optimization (PSO) model for multivariable prediction of the blast furnace (BF) is proposed in this article. The ...