facebookresearch / ContextualBOLinks
Code associated with paper "High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization"
☆15Updated 4 years ago
Alternatives and similar repositories for ContextualBO
Users that are interested in ContextualBO are comparing it to the libraries listed below
Sorting:
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆41Updated 3 years ago
- This is the code for our paper: Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces (Leonard Papenmeier…☆17Updated last year
- Offline Contextual Bayesian Optimization☆14Updated last year
- Release code for ICML2020 Knowing The What But Not The Where in Bayesian Optimization☆15Updated 2 years ago
- This is the companion code for the paper Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization by Lukas P. Fröhlich et al…☆11Updated 4 years ago
- NeurIPS 2019 Paper☆11Updated 5 years ago
- Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization☆37Updated 5 years ago
- Bayesian Optimization with Density-Ratio Estimation☆23Updated 2 years ago
- Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds☆26Updated last year
- implementation of Wasserstein Natural Policy Gradients and Wasserstein Natural Evolution Strategies☆11Updated 4 years ago
- ☆30Updated 9 months ago
- ☆50Updated 3 years ago
- Code to run the ASEBO algorithm from the paper: From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization... …☆16Updated 4 years ago
- An adaptive black-box optimization method with directional Gaussian smoothing for high-dimensional multi-modal functions☆9Updated 4 years ago
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆73Updated 2 years ago
- Code for the paper "Learning Step-Size Adaptation in CMA-ES"☆11Updated 2 years ago
- Code repository for Ensemble Bayesian Optimization☆53Updated 5 years ago
- Model-based reinforcement learning in TensorFlow☆56Updated 3 years ago
- [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces☆30Updated 2 years ago
- Official pytorch implementation for our ICLR 2023 paper "Latent State Marginalization as a Low-cost Approach for Improving Exploration".☆24Updated 2 years ago
- PyTorch implementation of Probabilistic Network Ensembles on toy problems☆23Updated 2 years ago
- Repository for paper: "SnAKe: Bayesian Optimization with Pathwise Exploration".☆17Updated last year
- 🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)☆18Updated last year
- Code for "Maximizing Acquisition Functions for Bayesian Optimization"☆13Updated 6 years ago
- code for BINOCULARS and Multi-Step BO☆12Updated 4 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆19Updated 3 years ago
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆14Updated 2 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 5 years ago
- [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)☆28Updated 2 years ago
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆44Updated 2 years ago