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cs.LG2020
Bayesian optimization for backpropagation in Monte-Carlo tree search
Yueqin Li, Nengli Lim
In large domains, Monte-Carlo tree search (MCTS) is required to estimate the values of the states as efficiently and accurately as possible. However, the standard update rule in ba…
cs.CV2020
Disentangling Multiple Features in Video Sequences using Gaussian Processes in Variational Autoencoders
Sarthak Bhagat, Shagun Uppal, Zhuyun Yin +1
We introduce MGP-VAE (Multi-disentangled-features Gaussian Processes Variational AutoEncoder), a variational autoencoder which uses Gaussian processes (GP) to model the latent spac…