activity
20182020
most citedDeep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications

1.3k citations · 1.6k across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG2020★ 3 cited

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

Ngoc Duy Nguyen, Thanh Thi Nguyen, Hai Nguyen +2

The integration of deep learning to reinforcement learning (RL) has enabled RL to perform efficiently in high-dimensional environments. Deep RL methods have been applied to solve m…

cs.LG2020★ 5 cited

A Visual Communication Map for Multi-Agent Deep Reinforcement Learning

Ngoc Duy Nguyen, Thanh Thi Nguyen, Doug Creighton +1

Deep reinforcement learning has been applied successfully to solve various real-world problems and the number of its applications in the multi-agent settings has been increasing. M…

cs.RO2019

Manipulating Soft Tissues by Deep Reinforcement Learning for Autonomous Robotic Surgery

Ngoc Duy Nguyen, Thanh Nguyen, Saeid Nahavandi +2

In robotic surgery, pattern cutting through a deformable material is a challenging research field. The cutting procedure requires a robot to concurrently manipulate a scissor and a…

cs.RO2019★ 33 cited

A New Tensioning Method using Deep Reinforcement Learning for Surgical Pattern Cutting

Thanh Thi Nguyen, Ngoc Duy Nguyen, Fernando Bello +1

Surgeons normally need surgical scissors and tissue grippers to cut through a deformable surgical tissue. The cutting accuracy depends on the skills to manipulate these two tools.…

cs.LG2018★ 1.3k cited

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…

cs.LG2018★ 11 cited

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…

cs.LG2018★ 18 cited

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…

cs.HC2018★ 190 cited

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…