ardaegeunlu / Contextual-Gaussian-Process-Bandit-Optimization
Simple implementation of the CGP-UCB algorithm.
☆32Updated 5 years ago
Alternatives and similar repositories for Contextual-Gaussian-Process-Bandit-Optimization:
Users that are interested in Contextual-Gaussian-Process-Bandit-Optimization are comparing it to the libraries listed below
- Simple implementation of GP-UCB algorithm.☆51Updated 8 years ago
- Multi-fidelity Gaussian Process Bandit Optimisation☆39Updated 8 years ago
- An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR…☆13Updated 2 years ago
- Streaming sparse Gaussian process approximations☆62Updated 2 years ago
- Efficient Exploration through Bayesian Deep Q-Networks☆37Updated 7 years ago
- PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets☆58Updated 2 years ago
- Offline Contextual Bayesian Optimization☆14Updated last year
- Code associated with paper "High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization"☆15Updated 4 years ago
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆38Updated 2 years ago
- Implementation of my Bayesian Optimization algorithms☆12Updated 6 years ago
- Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}☆72Updated 2 years ago
- Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)☆32Updated 5 years ago
- This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.☆50Updated 3 years ago
- Release code for ICML2020 Knowing The What But Not The Where in Bayesian Optimization☆15Updated last year
- An implementation of "ADMMBO, An ADMM Framework for Bayesian Optimization with Unknown Constraints''☆21Updated 5 years ago
- Reinforcement Learning with Convex Constraints☆14Updated 2 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆71Updated 2 years ago
- ☆17Updated 3 years ago
- Scalable Bayesian Inverse Reinforcement Learning (ICLR 2021) by Alex J. Chan and Mihaela van der Schaar.☆44Updated 3 years ago
- ☆43Updated 2 years ago
- ☆23Updated 2 years ago
- Non stationary bandit for experiments with Reinforcement Learning☆34Updated 7 years ago
- Code for training and testing a Hidden Parameter Markov Decision Process, used to facilitate the transfer of learning☆30Updated 7 years ago
- PyTorch implementation of Probabilistic Network Ensembles on toy problems☆23Updated 2 years ago
- Online variational GPs☆31Updated last year
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- A PyTorch implementation of various Online & Stochastic optimization algorithms for deep learning☆27Updated 3 years ago
- Implementation for "Surrogate Losses for Online Learning of Stepsizes in Stochastic Non-Convex Optimization"☆10Updated 2 years ago
- Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"☆17Updated 5 years ago
- Accompanying code for our NeurIPS 2019 paper☆12Updated 5 years ago