Explainable ai and reinforcement learning—a systematic review of current approaches and trends

L Wells, T Bednarz - Frontiers in artificial intelligence, 2021 - frontiersin.org
Research into Explainable Artificial Intelligence (XAI) has been increasing in recent years as
a response to the need for increased transparency and trust in AI. This is particularly …

Intelligent healthcare: Integration of emerging technologies and Internet of Things for humanity

VA Dang, Q Vu Khanh, VH Nguyen, T Nguyen… - Sensors, 2023 - mdpi.com
Health is gold, and good health is a matter of survival for humanity. The development of the
healthcare industry aligns with the development of humans throughout history. Nowadays …

A survey on artificial intelligence assurance

FA Batarseh, L Freeman, CH Huang - Journal of Big Data, 2021 - Springer
Artificial Intelligence (AI) algorithms are increasingly providing decision making and
operational support across multiple domains. AI includes a wide (and growing) library of …

Explainable AI in deep reinforcement learning models for power system emergency control

K Zhang, J Zhang, PD Xu, T Gao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Artificial intelligence (AI) technology has become an important trend to support the analysis
and control of complex and time-varying power systems. Although deep reinforcement …

Automatic classification of microplastics and natural organic matter mixtures using a deep learning model

S Lee, H Jeong, SM Hong, D Yun, J Lee, E Kim… - Water Research, 2023 - Elsevier
Several preprocessing procedures are required for the classification of microplastics (MPs)
in aquatic systems using spectroscopic analysis. Procedures such as oxidation, which are …

Explainability in deep reinforcement learning: A review into current methods and applications

T Hickling, A Zenati, N Aouf, P Spencer - ACM Computing Surveys, 2023 - dl.acm.org
The use of Deep Reinforcement Learning (DRL) schemes has increased dramatically since
their first introduction in 2015. Though uses in many different applications are being found …

[HTML][HTML] COVLIAS 2.0-cXAI: Cloud-based explainable deep learning system for COVID-19 lesion localization in computed tomography scans

JS Suri, S Agarwal, GL Chabert, A Carriero, A Paschè… - Diagnostics, 2022 - mdpi.com
Background: The previous COVID-19 lung diagnosis system lacks both scientific validation
and the role of explainable artificial intelligence (AI) for understanding lesion localization …

[HTML][HTML] Artificial intelligence for video game visualization, advancements, benefits and challenges

Y Wu, A Yi, C Ma, L Chen - Mathematical Biosciences and …, 2023 - aimspress.com
In recent years, the field of artificial intelligence (AI) has witnessed remarkable progress and
its applications have extended to the realm of video games. The incorporation of AI in video …

Explainable reinforcement learning (XRL): a systematic literature review and taxonomy

Y Bekkemoen - Machine Learning, 2024 - Springer
In recent years, reinforcement learning (RL) systems have shown impressive performance
and remarkable achievements. Many achievements can be attributed to combining RL with …

Toward explainable artificial intelligence: A survey and overview on their intrinsic properties

JX Mi, X Jiang, L Luo, Y Gao - Neurocomputing, 2024 - Elsevier
Artificial intelligence and its derivative technologies are not only playing a role in the fields of
medicine, economy, policing, transportation, and natural science computing today but also …