Exploring Advanced Methodologies in Security Evaluation for LLMs.
CoRR, 2024
Meteorological data layout and task scheduling in a multi-cloud environment.
Eng. Appl. Artif. Intell., November, 2023
Routing optimization with Monte Carlo Tree Search-based multi-agent reinforcement learning.
Appl. Intell., November, 2023
Generative inverse reinforcement learning for learning 2-opt heuristics without extrinsic rewards in routing problems.
J. King Saud Univ. Comput. Inf. Sci., October, 2023
Discovering Lin-Kernighan-Helsgaun heuristic for routing optimization using self-supervised reinforcement learning.
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.
J. Parallel Distributed Comput., July, 2023
Mastering construction heuristics with self-play deep reinforcement learning.
Neural Comput. Appl., February, 2023
Solving combinatorial optimization problems over graphs with BERT-Based Deep Reinforcement Learning.
Inf. Sci., 2023
Interval grey number of energy consumption helps task offloading in the mobile environment.
ICT Express, 2023
VARL: a variational autoencoder-based reinforcement learning Framework for vehicle routing problems.
Appl. Intell., 2022
Generative Adversarial Imitation Learning to Search in Branch-and-Bound Algorithms.
Proceedings of the Database Systems for Advanced Applications, 2022
Energy-aware offloading based on priority in mobile cloud computing.
Sustain. Comput. Informatics Syst., 2021
Deep reinforcement learning for transportation network combinatorial optimization: A survey.
Knowl. Based Syst., 2021
Deepening the IDA* algorithm for knowledge graph reasoning through neural network architecture.
Neurocomputing, 2021
Energy-aware scheduling in edge computing with a clustering method.
Future Gener. Comput. Syst., 2021
Learning to traverse over graphs with a Monte Carlo tree search-based self-play framework.
Eng. Appl. Artif. Intell., 2021
GRL: Knowledge graph completion with GAN-based reinforcement learning.
Knowl. Based Syst., 2020
ADRL: An attention-based deep reinforcement learning framework for knowledge graph reasoning.
Knowl. Based Syst., 2020
ALSTM: An attention-based long short-term memory framework for knowledge base reasoning.
Neurocomputing, 2020