[HTML][HTML] A survey on large language model based autonomous agents

L Wang, C Ma, X Feng, Z Zhang, H Yang… - Frontiers of Computer …, 2024 - Springer
Autonomous agents have long been a research focus in academic and industry
communities. Previous research often focuses on training agents with limited knowledge …

[HTML][HTML] Understanding of machine learning with deep learning: architectures, workflow, applications and future directions

MM Taye - Computers, 2023 - mdpi.com
In recent years, deep learning (DL) has been the most popular computational approach in
the field of machine learning (ML), achieving exceptional results on a variety of complex …

The rise and potential of large language model based agents: A survey

Z Xi, W Chen, X Guo, W He, Y Ding, B Hong… - arXiv preprint arXiv …, 2023 - arxiv.org
For a long time, humanity has pursued artificial intelligence (AI) equivalent to or surpassing
the human level, with AI agents considered a promising vehicle for this pursuit. AI agents are …

Social physics

M Jusup, P Holme, K Kanazawa, M Takayasu, I Romić… - Physics Reports, 2022 - Elsevier
Recent decades have seen a rise in the use of physics methods to study different societal
phenomena. This development has been due to physicists venturing outside of their …

Cellular, wide-area, and non-terrestrial IoT: A survey on 5G advances and the road toward 6G

M Vaezi, A Azari, SR Khosravirad… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
The next wave of wireless technologies is proliferating in connecting things among
themselves as well as to humans. In the era of the Internet of Things (IoT), billions of …

Machine Learning for industrial applications: A comprehensive literature review

M Bertolini, D Mezzogori, M Neroni… - Expert Systems with …, 2021 - Elsevier
Abstract Machine Learning (ML) is a branch of artificial intelligence that studies algorithms
able to learn autonomously, directly from the input data. Over the last decade, ML …

Reinforcement learning based recommender systems: A survey

MM Afsar, T Crump, B Far - ACM Computing Surveys, 2022 - dl.acm.org
Recommender systems (RSs) have become an inseparable part of our everyday lives. They
help us find our favorite items to purchase, our friends on social networks, and our favorite …

[HTML][HTML] Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review

I Antonopoulos, V Robu, B Couraud, D Kirli… - … and Sustainable Energy …, 2020 - Elsevier
Recent years have seen an increasing interest in Demand Response (DR) as a means to
provide flexibility, and hence improve the reliability of energy systems in a cost-effective way …

Interpretable deep learning: Interpretation, interpretability, trustworthiness, and beyond

X Li, H Xiong, X Li, X Wu, X Zhang, J Liu, J Bian… - … and Information Systems, 2022 - Springer
Deep neural networks have been well-known for their superb handling of various machine
learning and artificial intelligence tasks. However, due to their over-parameterized black-box …

Recent advances in deep learning based dialogue systems: A systematic survey

J Ni, T Young, V Pandelea, F Xue… - Artificial intelligence review, 2023 - Springer
Dialogue systems are a popular natural language processing (NLP) task as it is promising in
real-life applications. It is also a complicated task since many NLP tasks deserving study are …