Empowering branch-and-bound algorithms via reinforcement and imitation learning for enhanced search
Author:
- 9 January 2025
- journal article
- research article
- Published by Elsevier in Applied Soft Computing
- Vol. 170
Abstract
No abstract availableKeywords
Funding Information
- Fundamental Research Funds for the Central Universities (3132024267)
- National Natural Science Foundation of China (62406050)
- National Natural Science Foundation of China (62376048)
This publication has 29 references indexed in Scilit:
- Dynamic programming with meta-reinforcement learning: a novel approach for multi-objective optimizationComplex & Intelligent Systems, 2024
- Routing optimization with Monte Carlo Tree Search-based multi-agent reinforcement learningApplied Intelligence, 2023
- Solving combinatorial optimization problems over graphs with BERT-Based Deep Reinforcement LearningInformation Sciences, 2022
- Generative Adversarial Imitation Learning to Search in Branch-and-Bound Algorithms2022
- An adaptive large neighborhood search heuristic for the vehicle routing problem with time windows and delivery robotsEuropean Journal of Operational Research, 2021
- Integrated order batching and vehicle routing operations in grocery retail – A General Adaptive Large Neighborhood Search algorithmEuropean Journal of Operational Research, 2021
- Reinforcement learning for combinatorial optimization: A surveyComputers & Operations Research, 2021
- A survey of inverse reinforcement learning: Challenges, methods and progressArtificial Intelligence, 2021
- Imitation Learning2020
- Survey of imitation learning for robotic manipulationInternational Journal of Intelligent Robotics and Applications, 2019