11 citations · 25 across the 7 of their papers we have counts for
7 papers
Temporal Predictive Coding For Model-Based Planning In Latent Space
Tung Nguyen, Rui Shu, Tuan Pham +2
High-dimensional observations are a major challenge in the application of model-based reinforcement learning (MBRL) to real-world environments. To handle high-dimensional sensory i…
MAGNeto: An Efficient Deep Learning Method for the Extractive Tags Summarization Problem
Hieu Trong Phung, Anh Tuan Vu, Tung Dinh Nguyen +4
In this work, we study a new image annotation task named Extractive Tags Summarization (ETS). The goal is to extract important tags from the context lying in an image and its corre…
Q-Learning with Differential Entropy of Q-Tables
Tung D. Nguyen, Kathryn E. Kasmarik, Hussein A. Abbass
It is well-known that information loss can occur in the classic and simple Q-learning algorithm. Entropy-based policy search methods were introduced to replace Q-learning and to de…
Continuous Deep Hierarchical Reinforcement Learning for Ground-Air Swarm Shepherding
Hung The Nguyen, Tung Duy Nguyen, Vu Phi Tran +5
The control and guidance of multi-robots (swarm) is a non-trivial problem due to the complexity inherent in the coupled interaction among the group. Whether the swarm is cooperativ…
Predictive Coding for Locally-Linear Control
Rui Shu, Tung Nguyen, Yinlam Chow +5
High-dimensional observations and unknown dynamics are major challenges when applying optimal control to many real-world decision making tasks. The Learning Controllable Embedding…
Apprenticeship Bootstrapping Via Deep Learning with a Safety Net for UAV-UGV Interaction
Hung Nguyen, Vu Tran, Tung Nguyen +5
In apprenticeship learning (AL), agents learn by watching or acquiring human demonstrations on some tasks of interest. However, the lack of human demonstrations in novel tasks wher…
Towards Bi-Directional Communication in Human-Swarm Teaming: A Survey
Aya Hussein, Leo Ghignone, Tung Nguyen +4
Swarm systems consist of large numbers of robots that collaborate autonomously. With an appropriate level of human control, swarm systems could be applied in a variety of contexts…