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Found 4 papers, 4 papers with code
Latent Task-Specific Graph Network Simulators
Movement primitives further allow us to accommodate various types of context data, as demonstrated through the utilization of point clouds during inference.
Ball-and-socket joint pose estimation using magnetic field
The LSTM model is deployed and used for joint pose estimation of Roboy 3. 0's shoulder and neck joints.
Bayes-Adaptive Deep Model-Based Policy Optimisation
We introduce a Bayesian (deep) model-based reinforcement learning method (RoMBRL) that can capture model uncertainty to achieve sample-efficient policy optimisation.
Towards Autoencoding Variational Inference for Aspect-based Opinion Summary
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.
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