iurteaga / banditsLinks
Public repository for the work on bandit problems
☆23Updated last year
Alternatives and similar repositories for bandits
Users that are interested in bandits are comparing it to the libraries listed below
Sorting:
- Non-stationary Off-policy Evaluation☆13Updated 6 years ago
- Non stationary bandit for experiments with Reinforcement Learning☆34Updated 8 years ago
- Library for Multi-Armed Bandit Algorithms☆56Updated 8 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- Contextual bandit benchmarking☆50Updated 3 months ago
- A Python 3 Bandit Visualization Package☆11Updated 7 years ago
- A Python library for reinforcement learning using Bayesian approaches☆54Updated 10 years ago
- ☆53Updated 5 years ago
- Open access book on variational Bayesian methods written collaboratively☆28Updated 10 years ago
- Code for "Best arm identification in multi-armed bandits with delayed feedback", AISTATS 2018.☆19Updated 7 years ago
- Interaction-side integration library for Reinforcement Learning loops: Predict, Log, [Learn,] Update☆75Updated 10 months ago
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆148Updated last year
- Discontinuous Hamiltonian Monte Carlo in JAX☆42Updated 5 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.☆78Updated last year
- Variational Fourier Features☆85Updated 4 years ago
- Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras☆48Updated 2 weeks ago
- Gaussian Process and Uncertainty Quantification Summer School 2018☆31Updated 2 years ago
- Generative Forests in Python☆35Updated 2 years ago
- Parameter Importance Analysis Tool☆77Updated 4 years ago
- Explore the optimization landscape for direct policy learning reinforcement learning.☆51Updated 6 years ago
- Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"☆17Updated 5 years ago
- Train neural networks to use as SMC and importance sampling proposals☆24Updated 7 years ago
- Summaries and minimal implementations of ML / statistics research articles.☆39Updated 4 years ago
- Temporally-reweighted Chinese restaurant process mixture models for multivariate time series☆37Updated last year
- Automatic Discovery of the Statistical Types of Variables in a Dataset☆23Updated 7 years ago
- Talks from Neil Lawrence☆54Updated last year
- Estimators to perform off-policy evaluation☆13Updated last year
- Code for Fast Information-theoretic Bayesian Optimisation☆16Updated 7 years ago
- ☆64Updated 7 years ago