Decentralised AI for Situational Awareness
Thomas Kelly
Agent-Based Adaptive Systems
Emergent Communication in Social Games
Olaf Lipinki
Nature-Inspired Communication in Reinforcement Learning Systems
Jennifer Barnes-Nunn
Interactive Lifelong Reinforcement Learning
John Birkbeck
Interactive Lifelong Reinforcement Learning
Kryspin Varys
Radar Imaging for Non-Invasive for Brain Imaging and Anamoly Detection
Radar Imaging for Non-Invasive for Brain Imaging and Anamoly Detection
Intelligent Coordination and Planning for Human-Robot Swarms
Intelligent Coordination and Planning for Human-Robot Swarms
Sample-Efficient Exploration in Visually Complex Reinforcement Learning Tasks
Sample-Efficient Exploration in Visually Complex Reinforcement Learning Tasks
Multi-modal event classification of social media content where training data is limited and/or emerging
Multi-modal event classification of social media content where training data is limited and/or emerging
Embedded Artificial Intelligence
Relative Movement Quantisation for Lossless Network Compression
Christopher Subia-Waud
Binaural Machine Listening in the Cocktail Party Scenario
Hsuan-Yang Wang
Graph Neural Networks for Robotic Grasping
Kian Spencer
Efficient learning on resource-constrained embedded systems
Epifanios Baikas
Machine learning for the analysis of ambient marine noise
Konstantinos Drylerakis
Federated Learning on Embedded Systems
Shannon How
Creating Augmented Reality Soundscape Experiences on Edge Devices
Creating Augmented Reality Soundscape Experiences on Edge Devices
Efficient Visual Place Recognition for Real-Time Visual Perception
Efficient Visual Place Recognition for Real-Time Visual Perception
Nanoelectronic Technologies for AI
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Task-Optimised Devices and Systems
Efficient DNNs for Inference at the Edge
Sulaiman Sadiq
Assisted Predistortion for Wireless Communications
Jack Williamson
Fault Prediction Using Digital Twin Techniques
Matthew Pugh
Search Publications
Latest Publications
The effect of predictive formal modelling at runtime on performance in human-swarm interaction - Ayodeji O. Abioye, William Hunt, Yue Gu, Eike Schneiders, Mohammad Naiseh, Joel E. Fischer, Sarvapali D. Ramchurn, Mohammad D. Soorati, Blair Archibald and Michele Sevegnani
Type: Conference or Workshop Item
| 2024
| Association for Computing Machinery
Extraction and summarization of suicidal ideation evidence in social media content using large language models - Gyanendro Loitongbam, Junyu Mao, Rudra Mutalik and Stuart E. Middleton
Type: Conference or Workshop Item
| 2024
| Item not available on this server.
Minigrid & miniworld: modular & customizable reinforcement learning environments for goal-oriented tasks - Maxime Chevalier-Boisvert, Bolun Dai, Mark Towers, Rodrigo de Lazcano, Lucas Willems, Salem Lahlou, Suman Pal, Pablo Samuel Castro and Jordan Terry
Type: Conference or Workshop Item
| 2023
| Neural Information Processing Systems Foundation
Open RL benchmark: comprehensive tracked experiments for reinforcement learning - Shengyi Huang, Quentin Gallouédec, Florian Felten, Antonin Raffin, Rousslan Fernand Julien Dossa, Yanxiao Zhao, Ryan Sullivan, Viktor Makoviychuk, Denys Makoviichuk, Mohamad H. Danesh, Cyril Roumégous, Jiayi Weng, Chufan Chen, Md Masudur Rahman, João G.M. Araújo, Guorui Quan, Daniel Tan, Timo Klein, Rujikorn Charakorn, Mark Towers, Yann Berthelot, Kinal Mehta, Dipam Chakraborty, KG Arjun, Valentin Charraut, Chang Ye, Zichen Liu, Lucas N. Alegre, Alexander Nikulin, Xiao Hu, Tianlin Liu, Jongwook Choi and Brent Yi
Type: UNSPECIFIED
| 2024
| arXiv
Conversational language models for human-in-the-loop multi-robot coordination - William Hunt, Toby Godfrey and Mohammad D. Soorati
Type: UNSPECIFIED
| 2024