88 citations · 260 across the 29 of their papers we have counts for
6 papers · 1 filter
Learning to Discover Medicines
Tri Minh Nguyen, Thin Nguyen, Truyen Tran
Discovering new medicines is the hallmark of human endeavor to live a better and longer life. Yet the pace of discovery has slowed down as we need to venture into more wildly unexp…
Counterfactual Explanation with Multi-Agent Reinforcement Learning for Drug Target Prediction
Tri Minh Nguyen, Thomas P Quinn, Thin Nguyen +1
Motivation: Many high-performance DTA models have been proposed, but they are mostly black-box and thus lack human interpretability. Explainable AI (XAI) can make DTA models more t…
Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning
Dung Nguyen, Svetha Venkatesh, Phuoc Nguyen +1
Guilt aversion induces experience of a utility loss in people if they believe they have disappointed others, and this promotes cooperative behaviour in human. In psychological game…
Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning
Thommen George Karimpanal, Santu Rana, Sunil Gupta +2
Prior access to domain knowledge could significantly improve the performance of a reinforcement learning agent. In particular, it could help agents avoid potentially catastrophic e…
Relational dynamic memory networks
Trang Pham, Truyen Tran, Svetha Venkatesh
Neural networks excel in detecting regular patterns but are less successful in representing and manipulating complex data structures, possibly due to the lack of an external memory…
Knowledge Graph Embedding with Multiple Relation Projections
Kien Do, Truyen Tran, Svetha Venkatesh
Knowledge graphs contain rich relational structures of the world, and thus complement data-driven machine learning in heterogeneous data. One of the most effective methods in repre…