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Explainable reinforcement learning (XRL) is an emerging subfield of explainable machine learning that has attracted considerable attention in recent years. The goal of XRL is to elucidate the decision-making process of learning agents in…

Machine Learning · Computer Science 2022-02-18 Stephanie Milani , Nicholay Topin , Manuela Veloso , Fei Fang

Interactive reinforcement learning, where humans actively assist during an agent's learning process, has the promise to alleviate the sample complexity challenges of practical algorithms. However, the inner workings and state of the robot…

Robotics · Computer Science 2021-10-12 Ziyi Zhang , Samuel Micah Akai-Nettey , Adonai Addo , Chris Rogers , Jivko Sinapov

This perspective reframes human-robot interaction (HRI) through extended reality (XR), arguing that virtual robots powered by large foundation models (FMs) can serve as cognitively grounded, empathic agents. Unlike physical robots,…

Human-Computer Interaction · Computer Science 2026-03-30 Yuchong Zhang , Yong Ma , Danica Kragic

Instant on-device Neural Radiance Fields (NeRFs) are in growing demand for unleashing the promise of immersive AR/VR experiences, but are still limited by their prohibitive training time. Our profiling analysis reveals a memory-bound…

Computer Vision and Pattern Recognition · Computer Science 2023-05-11 Yang Zhao , Shang Wu , Jingqun Zhang , Sixu Li , Chaojian Li , Yingyan Lin

The article discusses the prospects for introducing into educational practice the designer of electronic training courses based on virtual and augmented reality technologies for LMS Moodle. The requirements for the functions, interface,…

Human-Computer Interaction · Computer Science 2023-03-30 Anastasia Grigoreva , Stanislav Grigorev

Dating apps such as Tinder have announced plans for a dating metaverse: the incorporation of XR technologies into the online dating process to augment interactions between potential sexual partners across virtual and physical worlds. While…

Human-Computer Interaction · Computer Science 2022-05-10 Sarath S. Shanker , Douglas Zytko

Offline Reinforcement Learning (ORL) enablesus to separately study the two interlinked processes of reinforcement learning: collecting informative experience and inferring optimal behaviour. The second step has been widely studied in the…

Reinforcement learning (RL) in the real world necessitates the development of procedures that enable agents to explore without causing harm to themselves or others. The most successful solutions to the problem of safe RL leverage offline…

Machine Learning · Computer Science 2025-01-09 Alexander Quessy , Thomas Richardson , Sebastian East

As virtual reality (VR) technology becomes more pervasive, it continues to find multiple new uses beyond research laboratories. One of them is distance adult education -- the potential of VR to provide valuable education experiences is…

Virtual Reality (VR) is increasingly being recognized for its educational potential and as an effective way to convey new knowledge to people, it supports interactive and collaborative activities. Affordable VR powered by mobile…

Human-Computer Interaction · Computer Science 2018-09-25 Tiffany Leung , Farhana Zulkernine , Haruna Isah

Extended Reality (XR) is one of the most important 5G/6G media applications that will fundamentally transform human interactions. However, ensuring low latency, high data rate, and reliability to support XR services poses significant…

Networking and Internet Architecture · Computer Science 2023-07-19 Moyukh Laha , Dibbendu Roy , Sourav Dutta , Goutam Das

Virtual reality (VR) is on the edge of getting a mainstream platform for gaming, education and product design. The feeling of being present in the virtual world is influenced by many factors and even more intriguing a single negative…

Human-Computer Interaction · Computer Science 2020-02-19 René Peinl , Tobias Wirth

Federated Learning is a fast growing area of ML where the training datasets are extremely distributed, all while dynamically changing over time. Models need to be trained on clients' devices without any guarantees for either homogeneity or…

Machine Learning · Computer Science 2021-10-20 Tae Jin Park , Kenichi Kumatani , Dimitrios Dimitriadis

Reinforcement learning (RL) has shown great promise with algorithms learning in environments with large state and action spaces purely from scalar reward signals. A crucial challenge for current deep RL algorithms is that they require a…

Machine Learning · Computer Science 2023-11-23 Shivakanth Sujit , Pedro H. M. Braga , Jorg Bornschein , Samira Ebrahimi Kahou

The growing adoption of extended reality (XR) has increased demand for wearable technologies that provide naturalistic tactile sensations while allowing users to interact freely with their environments using bare fingers. However, most…

Human-Computer Interaction · Computer Science 2026-05-29 Ana Sanz Cozcolluela , Koen Wosten , Yasemin Vardar

As augmented reality (AR) becomes increasingly integrated into everyday life, ensuring the safety and trustworthiness of its virtual content is critical. Our research addresses the risks of task-detrimental AR content, particularly that…

Computer Vision and Pattern Recognition · Computer Science 2025-08-01 Yanming Xiu

By converting the entire 3D space around the user into a screen, Extended Reality (XR) can ameliorate traditional displays' space limitations and facilitate the consumption of multiple pieces of information at a time. However, if designed…

Human-Computer Interaction · Computer Science 2024-11-06 Shakiba Davari , Doug A. Bowman

Reinforcement learning (RL) has achieved remarkable success in real-world decision-making across diverse domains, including gaming, robotics, online advertising, public health, and natural language processing. Despite these advances, a…

Applications · Statistics 2026-01-23 Asim H. Gazi , Yongyi Guo , Daiqi Gao , Ziping Xu , Kelly W. Zhang , Susan A. Murphy

During the past decade, there has been a significant increase in research focused on integrating AR User Interfaces into public safety applications, particularly for first responders in the domains of Emergency Medical Services,…

Human-Computer Interaction · Computer Science 2025-06-12 Erin Argo , Tanim Ahmed , Sarah Gable , Callie Hampton , Jeronimo Grandi , Regis Kopper

As technological advancements in extended reality (XR) amplify the demand for more XR content, traditional development processes face several challenges: 1) a steep learning curve for inexperienced developers, 2) a disconnect between 2D…

Human-Computer Interaction · Computer Science 2023-11-21 Alice Cai , Caine Ardayfio , AnhPhu Nguyen , Tica Lin , Elena Glassman