Inferring DQN structure for high-dimensional continuous control

no code implementations • ICML 2020 • Andrey Sakryukin, Chedy Raissi, Mohan Kankanhalli

We propose a novel approach to infer the network structure for DQN models operating with high-dimensional continuous actions.

Continuous Control Vocal Bursts Intensity Prediction

Adversarial Learning for Personalized Tag Recommendation

1 code implementation • 1 Apr 2020 • Erik Quintanilla, Yogesh Rawat, Andrey Sakryukin, Mubarak Shah, Mohan Kankanhalli

We demonstrate the effectiveness of the proposed model on two different large-scale and publicly available datasets, YFCC100M and NUS-WIDE.

General Classification Image Classification +2

BEHAVIOR MODULE IN NEURAL NETWORKS

no code implementations • ICLR 2019 • Andrey Sakryukin, Yongkang Wong, Mohan S. Kankanhalli

This property is particularly useful for user modeling (as for dialog agents) and recommendation tasks, as allows learning personalized representations of different user states.