rdlester / pyfacLinks
Python implementation of Sum-Product for Factor Graphs
☆44Updated 9 years ago
Alternatives and similar repositories for pyfac
Users that are interested in pyfac are comparing it to the libraries listed below
Sorting:
- factor graph library☆69Updated 6 years ago
- a library for deep reinforcement learning, with applications for navigation☆16Updated 7 years ago
- BBRL is a C++ open-source library used to compare Bayesian reinforcement learning algorithms☆34Updated 9 years ago
- An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)☆34Updated 8 years ago
- Factor graphs and loopy belief propagation implemented in Python☆192Updated 3 years ago
- Implementation is mostly based on Sergey Levine work (http://www.eecs.berkeley.edu/~svlevine/).☆43Updated 10 years ago
- Code for doubly stochastic gradients☆25Updated 10 years ago
- Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".☆35Updated 7 years ago
- Code for the Black-DROPS algorithm: "Black-Box Data-efficient Policy Search for Robotics", IROS 2017/ICRA 2018☆65Updated 3 years ago
- Source code and data for the paper "Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors"☆185Updated last year
- An autonomous exploration library☆69Updated 5 years ago
- Using Pilco algorithm to find a controller for few robotic problems☆43Updated 10 years ago
- C++ code for the RDIS algorithm from "Recursive Decomposition for Nonconvex Optimization." Friesen and Domingos, IJCAI 2015.☆57Updated 9 years ago
- Bayesian nonparametric small-variance asymptotic clustering algorithms☆20Updated 8 years ago
- Sum product algorithm - Belief propagation (message passing) for factor graphs☆87Updated 7 years ago
- TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆65Updated 9 years ago
- This is my implementation of the Optimality Tightening☆37Updated 8 years ago
- ☆69Updated 7 years ago
- Predictive State Recurrent Neural Networks☆18Updated 5 years ago
- Inferring beliefs about dynamics from behavior☆29Updated 7 years ago
- Sticky hierarchical Dirichlet process hidden Markov model for time series denoising☆48Updated 8 years ago
- E2C implementation in PyTorch☆43Updated 8 years ago
- RL Experiments from our paper "Backpropagation Through the Void": https://arxiv.org/abs/1711.00123. Lovingly forked from OpenAI's RL Base…☆38Updated 7 years ago
- Dirichlet Process Mixture Model sampling-based inference algorithms☆14Updated 8 years ago
- Torch7 impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆43Updated 9 years ago
- Implementation of gaussian processes and bayesian optimization in tensorflow☆11Updated 9 years ago
- Some code for tutorials following https://gym.openai.com/docs/rl☆14Updated 9 years ago
- trust region policy optimization base on gym and tensorflow, can run in distribution mode☆15Updated 8 years ago
- Code to reproduce the results in the "Unsupervised Learning of Goal Spaces for Intrinsically Motivated Exploration"☆21Updated 7 years ago
- Variational inference for Dirichlet process mixture models with multinomial mixture components.☆35Updated 11 years ago