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Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications
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. These algorithms however have faced great cha…
SSIMLayer: Towards Robust Deep Representation Learning via Nonlinear Structural Similarity
Ahmed Abobakr, Mohammed Hossny, Saeid Nahavandi
Deeper convolutional neural networks provide more capacity to approximate complex mapping functions. However, increasing network depth imposes difficulties on training and increase…
3D Hand Pose Estimation using Simulation and Partial-Supervision with a Shared Latent Space
Masoud Abdi, Ehsan Abbasnejad, Chee Peng Lim +1
Tremendous amounts of expensive annotated data are a vital ingredient for state-of-the-art 3d hand pose estimation. Therefore, synthetic data has been popularized as annotations ar…
Multi-Agent Deep Reinforcement Learning with Human Strategies
Thanh Nguyen, Ngoc Duy Nguyen, Saeid Nahavandi
Deep learning has enabled traditional reinforcement learning methods to deal with high-dimensional problems. However, one of the disadvantages of deep reinforcement learning method…
A Human Mixed Strategy Approach to Deep Reinforcement Learning
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…
A Review of Situation Awareness Assessment Approaches in Aviation Environments
Thanh Nguyen, Chee Peng Lim, Ngoc Duy Nguyen +2
Situation awareness (SA) is an important constituent in human information processing and essential in pilots' decision-making processes. Acquiring and maintaining appropriate level…