facebookresearch / LA-MCTSLinks
High dimensional black-box optimizer using Latent Action Monte Carlo Tree Search algorithm
☆28Updated 2 years ago
Alternatives and similar repositories for LA-MCTS
Users that are interested in LA-MCTS are comparing it to the libraries listed below
Sorting:
- ☆29Updated 2 years ago
- Code for Solving Black-Box Optimization Challenge via Learning Search Space Partition for Local Bayesian Optimization.☆21Updated 3 years ago
- ☆51Updated 10 months ago
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆44Updated 2 years ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆41Updated 3 years ago
- [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)☆28Updated 2 years ago
- Official implementation of NeurIPS'22 paper "Monte Carlo Tree Search based Variable Selection for High-Dimensional Bayesian Optimization"☆40Updated 2 years ago
- Code for "Robust Multi-Objective Bayesian Optimization Under Input Noise"☆54Updated 2 years ago
- [ICLR '21] Interpretable Neural Architecture Search using Bayesian Optimisation with Weisfiler-Lehman Kernel (NAS-BOWL)☆24Updated 3 years ago
- code associated with paper "Sparse Bayesian Optimization"☆26Updated last year
- Neuroevolution Benchmark in JAX 🦕☆39Updated last year
- [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces☆30Updated 2 years ago
- Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces☆57Updated 2 years ago
- ☆17Updated 3 years ago
- Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}☆73Updated 3 years ago
- Bayesian algorithm execution (BAX)☆49Updated 3 years ago
- Official repository for paper "Goal-Aware Neural SAT Solver"☆17Updated last year
- PyTorch code for the EvoMAL algorithm presented in "Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning" (TPAMI-2023). Pape…☆13Updated 10 months 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
- Code for the paper "Learning Step-Size Adaptation in CMA-ES"☆11Updated 2 years ago
- Official repository for the paper "Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules" (…☆22Updated 2 years ago
- Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)☆51Updated 5 years ago
- Code for "Maximizing Acquisition Functions for Bayesian Optimization"☆13Updated 6 years ago
- Python implementation for Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces.☆13Updated 3 years ago
- ☆22Updated 2 years ago
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆72Updated 2 years ago
- Benchmark functions for Bayesian optimization☆33Updated last year
- Hessian trace estimation using PyTorch and Hutch++☆19Updated 4 years ago
- a curated list of bayesian optimization tutorials, papers, softwares☆30Updated 4 years ago
- ☆11Updated 2 years ago