1 code implementation • 9 Nov 2023 • Philipp Dahlinger, Niklas Freymuth, Michael Volpp, Tai Hoang, Gerhard Neumann
Movement primitives further allow us to accommodate various types of context data, as demonstrated through the utilization of point clouds during inference.
1 code implementation • 8 Oct 2022 • Tai Hoang, Alona Kharchenko, Simon Trendel, Rafael Hostettler
The LSTM model is deployed and used for joint pose estimation of Roboy 3. 0's shoulder and neck joints.
1 code implementation • 29 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.
1 code implementation • 7 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.