Search Results for author: Ngoc Duy Nguyen

Found 9 papers, 1 papers with code

vieCap4H-VLSP 2021: Vietnamese Image Captioning for Healthcare Domain using Swin Transformer and Attention-based LSTM

1 code implementation3 Sep 2022 Thanh Tin Nguyen, Long H. Nguyen, Nhat Truong Pham, Liu Tai Nguyen, Van Huong Do, Hai Nguyen, Ngoc Duy Nguyen

This study presents our approach on the automatic Vietnamese image captioning for healthcare domain in text processing tasks of Vietnamese Language and Speech Processing (VLSP) Challenge 2021, as shown in Figure 1.

Image Captioning

Review, Analysis and Design of a Comprehensive Deep Reinforcement Learning Framework

no code implementations27 Feb 2020 Ngoc Duy Nguyen, Thanh Thi Nguyen, Hai Nguyen, Doug Creighton, Saeid Nahavandi

However, development of a deep RL-based system is challenging because of various issues such as the selection of a suitable deep RL algorithm, its network configuration, training time, training methods, and so on.

reinforcement-learning Reinforcement Learning (RL)

A Visual Communication Map for Multi-Agent Deep Reinforcement Learning

no code implementations27 Feb 2020 Ngoc Duy Nguyen, Thanh Thi Nguyen, Doug Creighton, Saeid Nahavandi

In this paper, we have proposed a more scalable approach that not only deals with a great number of agents but also enables collaboration between dissimilar functional agents and compatibly combined with any deep reinforcement learning methods.

reinforcement-learning Reinforcement Learning (RL)

Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications

no code implementations31 Dec 2018 Thanh Thi Nguyen, Ngoc Duy Nguyen, Saeid Nahavandi

Reinforcement learning (RL) algorithms have been around for decades and employed to solve various sequential decision-making problems.

Decision Making Reinforcement Learning (RL) +1

Multi-Agent Deep Reinforcement Learning with Human Strategies

no code implementations12 Jun 2018 Thanh Nguyen, Ngoc Duy Nguyen, Saeid Nahavandi

In this paper, we introduce an approach that integrates human strategies to increase the exploration capacity of multiple deep reinforcement learning agents.

reinforcement-learning Reinforcement Learning (RL)

A Human Mixed Strategy Approach to Deep Reinforcement Learning

no code implementations5 Apr 2018 Ngoc Duy Nguyen, Saeid Nahavandi, Thanh Nguyen

In 2015, Google's DeepMind announced an advancement in creating an autonomous agent based on deep reinforcement learning (DRL) that could beat a professional player in a series of 49 Atari games.

Atari Games Efficient Exploration +2

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