Search Results for author:
Found 2 papers, 1 papers with code
Bayesian optimization for backpropagation in Monte-Carlo tree search
In large domains, Monte-Carlo tree search (MCTS) is required to estimate the values of the states as efficiently and accurately as possible.
Disentangling Multiple Features in Video Sequences using Gaussian Processes in Variational Autoencoders
Our experiments show that the combination of the improved representations with the novel loss function enable MGP-VAE to outperform the baselines in video prediction.
Ranked #1 on
Video Prediction
on Colored dSprites
Cannot find the paper you are looking for? You can
Submit a new open access paper.
