dustinvtran / bayesrlLinks
A Python library for reinforcement learning using Bayesian approaches
☆54Updated 10 years ago
Alternatives and similar repositories for bayesrl
Users that are interested in bayesrl are comparing it to the libraries listed below
Sorting:
- ☆69Updated 7 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆69Updated 7 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 9 years ago
- Edward content including papers, posters, and talks☆92Updated 4 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Python package for inference with Gaussian processes☆11Updated 10 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Updated 8 years ago
- BBRL is a C++ open-source library used to compare Bayesian reinforcement learning algorithms☆34Updated 9 years ago
- reinforcement learning. policy gradient. PCL☆37Updated 8 years ago
- ☆28Updated 6 years ago
- What My Deep Model Doesn't Know...☆116Updated 9 years ago
- Reading Group on Reinforcement Learning topics☆56Updated 8 years ago
- This is code associated with the paper: Broderick, T, Boyd, N, Wibisono, A, Wilson, AC, and Jordan, MI. Streaming variational Bayes. Neur…☆41Updated 11 years ago
- ☆27Updated 6 years ago
- Modeling agents with probabilistic programs☆67Updated 6 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 7 years ago
- Tutorial on continuous control at Reinforcement Learning Summer School 2017.☆34Updated 8 years ago
- An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)☆35Updated 8 years ago
- Experiments in Bayesian Machine Learning☆69Updated 6 years ago
- ☆12Updated 2 years ago
- Robust policy search algorithms which train on model ensembles☆30Updated 8 years ago
- Bayesian Effective Connectivity☆54Updated 6 years ago
- Simple tools for statistical analyses in RL experiments☆67Updated 7 years ago
- Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.☆141Updated 9 years ago
- Structure learning for sparse graphs with latent variables☆44Updated 8 years ago
- Non stationary bandit for experiments with Reinforcement Learning☆34Updated 8 years ago
- Library for Multi-Armed Bandit Algorithms☆56Updated 8 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 5 years ago
- ☆24Updated 9 years ago
- A working implementation of the Categorical DQN (Distributional RL).☆96Updated 7 years ago