Qi Wang

Appl. Intell., November, 2023

Generative inverse reinforcement learning for learning 2-opt heuristics without extrinsic rewards in routing problems.

[BibT_eX]

[DOI]

Jiawei Zhang

J. King Saud Univ. Comput. Inf. Sci., October, 2023

Discovering Lin-Kernighan-Helsgaun heuristic for routing optimization using self-supervised reinforcement learning.

[BibT_eX]

[DOI]

Chengwei Zhang

J. King Saud Univ. Comput. Inf. Sci., September, 2023

Energy allocation and task scheduling in edge devices based on forecast solar energy with meteorological information.

[BibT_eX]

[DOI]

J. Parallel Distributed Comput., July, 2023

Mastering construction heuristics with self-play deep reinforcement learning.

[BibT_eX]

[DOI]

Yuqing He

Neural Comput. Appl., February, 2023

Solving combinatorial optimization problems over graphs with BERT-Based Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Kenneth H. Lai

Inf. Sci., 2023

Interval grey number of energy consumption helps task offloading in the mobile environment.

[BibT_eX]

[DOI]

ICT Express, 2023

2022

VARL: a variational autoencoder-based reinforcement learning Framework for vehicle routing problems.

[BibT_eX]

[DOI]

Appl. Intell., 2022

Generative Adversarial Imitation Learning to Search in Branch-and-Bound Algorithms.

[BibT_eX]

[DOI]

Suzanne V. Blackley

Proceedings of the Database Systems for Advanced Applications, 2022

2021

Energy-aware offloading based on priority in mobile cloud computing.

[BibT_eX]

[DOI]

Sustain. Comput. Informatics Syst., 2021

Deep reinforcement learning for transportation network combinatorial optimization: A survey.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Deepening the IDA* algorithm for knowledge graph reasoning through neural network architecture.

[BibT_eX]

[DOI]

Feng Chen

Neurocomputing, 2021

Energy-aware scheduling in edge computing with a clustering method.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2021

Learning to traverse over graphs with a Monte Carlo tree search-based self-play framework.

[BibT_eX]

[DOI]

Jie Cao

Eng. Appl. Artif. Intell., 2021

2020

GRL: Knowledge graph completion with GAN-based reinforcement learning.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

ADRL: An attention-based deep reinforcement learning framework for knowledge graph reasoning.

[BibT_eX]

[DOI]

Jie Cao

Knowl. Based Syst., 2020

ALSTM: An attention-based long short-term memory framework for knowledge base reasoning.

[BibT_eX]

[DOI]