wgrathwohl / BackpropThroughTheVoidRLLinks
RL Experiments from our paper "Backpropagation Through the Void": https://arxiv.org/abs/1711.00123. Lovingly forked from OpenAI's RL Baseline repo.
☆38Updated 7 years ago
Alternatives and similar repositories for BackpropThroughTheVoidRL
Users that are interested in BackpropThroughTheVoidRL are comparing it to the libraries listed below
Sorting:
- A Python implementation of the gradient REBAR estimator.☆46Updated 6 years ago
- Implementation of Coulomb GANs☆62Updated 3 years ago
- Official implementation for the paper: "Shallow Updates for Deep Reinforcement Learning"☆18Updated 7 years ago
- Torch7 impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆42Updated 9 years ago
- ☆37Updated 5 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"☆24Updated 7 years ago
- Implementation of REBAR in PyTorch☆17Updated 6 years ago
- Code for the "Binding via Reconstruction Clustering" paper☆21Updated 9 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- A Tensorfflow implementation of Attend, Infer, Repeat☆81Updated 6 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆44Updated 7 years ago
- Autoregressive Energy Machines☆78Updated 2 years ago
- ☆17Updated 7 years ago
- Lagrangian VAE☆28Updated 6 years ago
- Implementation of Variational Intrinsic Control in tensorflow☆11Updated 8 years ago
- A generic Monte Carlo method based on the Gumbel-Max trick.☆32Updated 9 years ago
- Optimizing control variates for black-box gradient estimation☆163Updated 5 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 years ago
- PyTorch implementation of AVF☆45Updated 4 years ago
- TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆65Updated 9 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22Updated 6 years ago
- A PyTorch implementation of Conditional PixelCNNs☆27Updated 7 years ago
- Variational Walkback, NIPS'17☆28Updated 7 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated last year
- Predictive State Recurrent Neural Networks☆18Updated 5 years ago
- ☆57Updated 7 years ago
- Code for "Inference Suboptimality in Variational Autoencoders"☆14Updated 5 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 9 years ago
- Implementations of polygamma, lgamma, and beta functions for PyTorch☆24Updated 7 years ago