1 code implementation • 26 May 2023 • Yi Loo, Chen Gong, Malika Meghjani
A major challenge for deep reinforcement learning (DRL) agents is to collaborate with novel partners that were not encountered by them during the training phase.
no code implementations • 25 Sep 2019 • Yi Loo, Yiluan Guo, Ngai-Man Cheung
Recent few-shot learning algorithms have enabled models to quickly adapt to new tasks based on only a few training samples.
no code implementations • ICLR Workshop LLD 2019 • Yi Loo, Swee Kiat Lim, Gemma Roig, Ngai-Man Cheung
We show that our model outperforms the current state of the art meta-learning methods in various regression tasks.
no code implementations • 23 Aug 2018 • Swee Kiat Lim, Yi Loo, Ngoc-Trung Tran, Ngai-Man Cheung, Gemma Roig, Yuval Elovici
To the best of our knowledge, our method is the first data augmentation technique focused on improving performance in unsupervised anomaly detection.