Search Results for author: Ariella Smofsky

Found 4 papers, 2 papers with code

Latent Variable Modelling with Hyperbolic Normalizing Flows

1 code implementation ICML 2020 Avishek Joey Bose, Ariella Smofsky, Renjie Liao, Prakash Panangaden, William L. Hamilton

One effective solution is the use of normalizing flows \cut{defined on Euclidean spaces} to construct flexible posterior distributions.

Density Estimation Variational Inference

Improving Exploration in Soft-Actor-Critic with Normalizing Flows Policies

1 code implementation6 Jun 2019 Patrick Nadeem Ward, Ariella Smofsky, Avishek Joey Bose

Deep Reinforcement Learning (DRL) algorithms for continuous action spaces are known to be brittle toward hyperparameters as well as \cut{being}sample inefficient.

Reinforcement Learning (RL)

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