Jgmorton / vbf
Implementation of Deep Variational Bayes Filter
☆12Updated 5 years ago
Alternatives and similar repositories for vbf
Users that are interested in vbf are comparing it to the libraries listed below
Sorting:
- TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆65Updated 8 years ago
- Python implementation of the PR-SSM.☆51Updated 6 years ago
- ☆46Updated 2 years ago
- ☆54Updated 7 years ago
- ☆35Updated 5 years ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Updated 2 years ago
- Library for Auto-Encoding Sequential Monte Carlo☆18Updated last year
- PyTorch implementation of AVF☆45Updated 4 years ago
- Predictive State Recurrent Neural Networks☆18Updated 4 years ago
- Tree-structured recurrent switching linear dynamical systems☆36Updated 4 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)☆33Updated 5 years ago
- Deep Successor Representation☆17Updated 7 years ago
- PyTorch implementation of "Learning Stable Deep Dynamics Models" (https://papers.nips.cc/paper/9292-learning-stable-deep-dynamics-models)…☆16Updated 5 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 5 years ago
- Variational Autoencoders with Gaussian Mixture Latent Space☆36Updated 7 years ago
- ☆14Updated 6 years ago
- A toolbox for inference of switching systems for control☆13Updated 3 years ago
- Kalman Variational Auto-Encoder☆135Updated 6 years ago
- ☆21Updated 6 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆78Updated 5 years ago
- E2C implementation in PyTorch☆43Updated 7 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆39Updated 5 years ago
- ☆98Updated 2 years ago
- Source code and data for the paper "Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors"☆185Updated last year
- Implementation of Variational Intrinsic Control in tensorflow☆11Updated 8 years ago
- Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"☆44Updated 2 years ago
- customized GPflow with simple Tensorflow API☆17Updated 5 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 3 years ago