Search Results for author: Tai Hoang

Found 2 papers, 2 papers with code

Bayes-Adaptive Deep Model-Based Policy Optimisation

1 code implementation29 Oct 2020 Tai Hoang, Ngo Anh Vien

We introduce a Bayesian (deep) model-based reinforcement learning method (RoMBRL) that can capture model uncertainty to achieve sample-efficient policy optimisation.

Model-based Reinforcement Learning reinforcement-learning

Towards Autoencoding Variational Inference for Aspect-based Opinion Summary

1 code implementation7 Feb 2019 Tai Hoang, Huy Le, Tho Quan

Firstly, we introduce the Autoencoding Variational Inference for Aspect Discovery (AVIAD) model, which extends the previous work of Autoencoding Variational Inference for Topic Models (AVITM) to embed prior knowledge of seed words.

General Classification Sentiment Analysis +2

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