jkomiyama / duelingbanditlib
☆11Updated 8 years ago
Alternatives and similar repositories for duelingbanditlib:
Users that are interested in duelingbanditlib are comparing it to the libraries listed below
- A lightweight python library for bandit algorithms☆30Updated 2 years ago
- Simulations for Dueling Bandit Algorithms, including our Double Thompson Sampling (D-TS) algorithms☆25Updated 8 years ago
- Public repository for the work on bandit problems☆23Updated 9 months ago
- Implementation of the X-armed Bandits algorithm, as detailed in the paper, "X-armed Bandits", Bubeck et al., 2011.☆9Updated 6 years ago
- Library for Multi-Armed Bandit Algorithms☆57Updated 7 years ago
- Non-stationary Off-policy Evaluation☆13Updated 6 years ago
- Online Variance Reduction☆13Updated 5 years ago
- Empirical tests of various bandit algorithms.☆16Updated 10 years ago
- Implementation of multi-armed bandits in Julia☆12Updated 5 years ago
- A Julia Package for providing Multi Armed Bandit Experiments☆20Updated 6 years ago
- Code for "Best arm identification in multi-armed bandits with delayed feedback", AISTATS 2018.☆19Updated 6 years ago
- A Python 3 Bandit Visualization Package☆11Updated 7 years ago
- Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"☆17Updated 5 years ago
- ☆14Updated 5 years ago
- Optimally-weighted herding is Bayesian Quadrature☆16Updated 8 years ago
- ☆15Updated 6 years ago
- The Mixing method: coordinate descent for low-rank semidefinite programming☆15Updated 3 years ago
- Implementation of Frequent-Directions algorithm for efficient matrix sketching [E. Liberty, SIGKDD2013]☆28Updated 9 years ago
- Deep Probabilistic Programming Language☆19Updated 5 months ago
- ProBO: Versatile Bayesian Optimization Using Any Probabilistic Programming Language☆16Updated 5 years ago
- Reward Estimation for Variance Reduction in Deep Reinforcement Learning☆21Updated 6 years ago
- ☆20Updated 9 years ago
- Python implementation of projection losses.☆25Updated 5 years ago
- Benchmark suite of test functions suitable for evaluating black-box optimization strategies☆49Updated 7 months ago
- Non stationary bandit for experiments with Reinforcement Learning☆34Updated 7 years ago
- Implementation of my Bayesian Optimization algorithms☆12Updated 6 years ago
- ☆17Updated 7 years ago
- A Learning Environment for Theorem Proving☆72Updated 2 years ago
- ☆9Updated 2 years ago
- A Rust🦀 implementation of CRAFTML, an Efficient Clustering-based Random Forest for Extreme Multi-label Learning☆15Updated 5 years ago