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
- TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆65Updated 8 years ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Updated 2 years ago
- Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)☆32Updated 5 years ago
- Python implementation of the PR-SSM.☆51Updated 6 years ago
- Predictive State Recurrent Neural Networks☆18Updated 4 years ago
- A toolbox for inference of switching systems for control☆13Updated 3 years ago
- QMDP-Net implementation☆65Updated 4 years ago
- ☆21Updated 6 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆64Updated 5 years ago
- Tree-structured recurrent switching linear dynamical systems☆36Updated 4 years ago
- ☆53Updated 7 years ago
- Library for Auto-Encoding Sequential Monte Carlo☆18Updated last year
- SVGD implementation☆10Updated 6 years ago
- ☆34Updated 4 years ago
- ☆47Updated 2 years ago
- E2C implementation in PyTorch☆43Updated 7 years ago
- Contains the code for "Generative Modeling of Multimodal Multi-Human Behavior" by Boris Ivanovic, Edward Schmerling, Karen Leung, and Mar…☆16Updated 6 years ago
- Contextual Relative Entropy Policy Search for Reinforcement Learning in Python☆15Updated 6 years ago
- A library of probabilistic model based RL algorithms in pytorch☆108Updated 3 years ago
- Performant, differentiable reinforcement learning☆25Updated last year
- Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations (ICLR 2020)☆25Updated 3 years ago
- Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".☆35Updated 6 years ago
- Source code and data for the paper "Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors"☆183Updated last year
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆38Updated 5 years ago
- Kalman Variational Auto-Encoder☆135Updated 6 years ago
- Deep Successor Representation☆17Updated 6 years ago
- Code for training and testing a Hidden Parameter Markov Decision Process, used to facilitate the transfer of learning☆30Updated 7 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆78Updated 5 years ago
- PyTorch implementation of "Learning Stable Deep Dynamics Models" (https://papers.nips.cc/paper/9292-learning-stable-deep-dynamics-models)…☆16Updated 4 years ago
- ☆22Updated 5 years ago