The official code repo for HyperAgent: A Simple, Scalable, Efficient and Provable Reinforcement Learning Framework for Complex Environments, ICML 2024.
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Updated
May 12, 2024 - Python
The official code repo for HyperAgent: A Simple, Scalable, Efficient and Provable Reinforcement Learning Framework for Complex Environments, ICML 2024.
Figuring out how Approximate Bayesian Computation works and how it can be applied to geological modeling.
Simulate N-player competitions via Approximate Bayesian Computation
This repo contains code that implements vPET-ABC. Currently, we have included Python code attempting GPU acceleration on FDG compartment models.
Simple model class and non-vectorized samplers for Approximate Bayesian Statistics (ABC)
Simulator of the Lotka-Volterra prey-predator system with demographic and observational noise and biases
Joint modelling of abundance and genetic diversity. An integrated model of population genetics and community ecology.
A Python package for likelihood-free inference (LFI) methods such as Approximate Bayesian Computation (ABC)
GPU and TPU implementation of parallelized ABC inference for a stochastic epidemiology model for COVID-19
Simulation-based inference using SSNL
Trabajo de Fin de Grado de Física 2022
Approximate Bayesian Computation algorithm based on simulated annealing
Repo for projects in the Chalmers course "TIF345 / FYM345 Advanced simulation and machine learning" 2020. Authors: Sebastian Holmin and Erik Andersson
Bayesian inference tools. Including state-of-the-art inference methods: HMC family, ABC family, Data assimilation, and so on. Part of Mathepia.jl
Evaluating model calibration methods for sensitivity analysis, uncertainty analysis, optimisation, and Bayesian inference
Julia implementation of some ABC algorithms.
Likelihood-Free Inference for Julia.
Correlation functions versus field-level inference in cosmology: example with log-normal fields
Comparison of summary statistic selection methods with a unifying perspective.
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