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.
☆39Updated 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 7 years ago
- Implementation of Coulomb GANs☆62Updated 4 years ago
- A Tensorfflow implementation of Attend, Infer, Repeat☆81Updated 6 years ago
- Official implementation for the paper: "Shallow Updates for Deep Reinforcement Learning"☆18Updated 7 years ago
- Code for "A-NICE-MC: Adversarial Training for MCMC"☆126Updated 7 years ago
- Optimizing control variates for black-box gradient estimation☆163Updated 6 years ago
- Autoregressive Energy Machines☆78Updated 2 years ago
- Torch7 impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆43Updated 9 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆45Updated 7 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 7 years ago
- SCAN: Learning Abstract Hierarchical Compositional Visual Concepts☆54Updated 7 years ago
- PixelVAE with or without regularization☆69Updated 8 years ago
- Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps☆42Updated 6 years ago
- Forward-mode Automatic Differentiation for TensorFlow☆139Updated 7 years ago
- Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"☆24Updated 7 years ago
- Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"☆130Updated 8 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 5 years ago
- Lagrangian VAE☆28Updated 7 years ago
- Implementations of polygamma, lgamma, and beta functions for PyTorch☆24Updated 8 years ago
- Predictive State Recurrent Neural Networks☆18Updated 5 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 5 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 9 years ago
- Implementation of Variational Intrinsic Control in tensorflow☆11Updated 8 years ago
- RNNprop☆36Updated 8 years ago
- Code for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)☆81Updated 7 years ago
- ☆38Updated 8 years ago
- PyTorch implementation of AVF☆45Updated 5 years ago
- pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction☆80Updated 6 years ago
- boundary-seeking generative adversarial networks☆46Updated 7 years ago