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09/03/2022
vieCap4H-VLSP 2021: Vietnamese Image Captioning for Healthcare Domain using Swin Transformer and Attention-based LSTM
This study presents our approach on the automatic Vietnamese image capti...
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09/06/2021
Fruit-CoV: An Efficient Vision-based Framework for Speedy Detection and Diagnosis of SARS-CoV-2 Infections Through Recorded Cough Sounds
SARS-CoV-2 is colloquially known as COVID-19 that had an initial outbrea...
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02/27/2020
Review, Analyze, and Design a Comprehensive Deep Reinforcement Learning Framework
Reinforcement learning (RL) has emerged as a standard approach for build...
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02/27/2020
A Visual Communication Map for Multi-Agent Deep Reinforcement Learning
Multi-agent learning distinctly poses significant challenges in the effo...
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02/14/2019
Manipulating Soft Tissues by Deep Reinforcement Learning for Autonomous Robotic Surgery
In robotic surgery, pattern cutting through a deformable material is a c...
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01/10/2019
A New Tensioning Method using Deep Reinforcement Learning for Surgical Pattern Cutting
Surgeons normally need surgical scissors and tissue grippers to cut thro...
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12/31/2018
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications
Reinforcement learning (RL) algorithms have been around for decades and ...
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06/12/2018
Multi-Agent Deep Reinforcement Learning with Human Strategies
Deep learning has enabled traditional reinforcement learning methods to ...
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04/05/2018
A Human Mixed Strategy Approach to Deep Reinforcement Learning
In 2015, Google's DeepMind announced an advancement in creating an auton...
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03/06/2018