https://github.com/congyewang/reinforcement-learning-for-adaptive-mcmc
Reinforcement Learning for Adaptive MCMC
https://github.com/congyewang/reinforcement-learning-for-adaptive-mcmc
Science Score: 13.0%
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○Scientific vocabulary similarity
Low similarity (4.6%) to scientific vocabulary
Repository
Reinforcement Learning for Adaptive MCMC
Basic Info
Statistics
- Stars: 0
- Watchers: 4
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Reinforcement Learning for Adaptive MCMC
This code accompanies the paper "Reinforcement Learning for Adaptive MCMC". It was written in GCC v6.3.0, Matlab R2024a, and Python v3.10.13.
Requirement
- Platform
- Ubuntu 22.04.4 LTS x86_64
- macOS 14.5 23F79 arm64
- Language
- cmake v3.22.1
- GCC v6.3.0
- G++ v6.3.0
- GNU Make v4.3
- Matlab R2024a
- Python v3.10.13
- zsh v5.8.1
- Python Package
- bridgestan v2.4.1
- h5py v3.9.0
- jinja2 v3.1.3
- matplotlib v3.7.2
- numpy v1.26.0
- pandas v2.1.1
- posteriordb v0.2.0
- prettytable v3.10.0
- pystan v3.9.1
- pytorch v2.2.0
- scipy v1.11.3
- statsmodels v0.14.1
- tqdm v4.65.0
- toml v0.10.2
- wget v3.2
Please note that this project has not been tested in Windows system, please consult the Stan, Bridgestan and Matlab documentation if needed.
Demo
{bash}
cd demo
cd <demo dir>
zsh run.sh
Experiment
{bash}
cd experiments
python main.py
zsh batch_run.sh "results" "learning.m"
zsh batch_baselines.sh
Owner
- Name: Congye
- Login: congyewang
- Kind: user
- Location: Newcastle upon Tyne
- Company: Newcastle University
- Repositories: 1
- Profile: https://github.com/congyewang
PhD Candidate in Statistics at Newcastle University
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