Ensemble Reinforcement Learning: A Survey

no code implementations • 5 Mar 2023 • Yanjie Song, P. N. Suganthan, Witold Pedrycz, Junwei Ou, Yongming He, Yingwu Chen, Yutong Wu

By offering guidance for future scientific research and engineering applications, this survey significantly contributes to the advancement of ERL.

Ensemble Learning Model Selection +2

RL-GA: A Reinforcement Learning-Based Genetic Algorithm for Electromagnetic Detection Satellite Scheduling Problem

no code implementations • 12 Jun 2022 • Yanjie Song, Luona Wei, Qing Yang, Jian Wu, Lining Xing, Yingwu Chen

In this way, the search information can be effectively used by the reinforcement learning method.

Q-Learning reinforcement-learning +2

A Two-stage Framework and Reinforcement Learning-based Optimization Algorithms for Complex Scheduling Problems

no code implementations • 10 Mar 2021 • Yongming He, Guohua Wu, Yingwu Chen, Witold Pedrycz

This offers a novel and general paradigm that combines RL with OR approaches to solving scheduling problems, which leverages the respective strengths of RL and OR: The MDP narrows down the search space of the original problem through an RL method, while the mixed-integer programming process is settled by an OR algorithm.

Combinatorial Optimization Earth Observation +3