natural-gradients 话题在 GitHub 上没有填写简介，这里按 Star 数汇总最相关的热门仓库。
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
用于概率预测的自然梯度提升
About A collection of AWESOME things about information geometry Topics
Gaussian Process package based on data augmentation, sparsity and natural gradients
TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".
Natural Gradient, Variational Inference
该项目在 GitHub 上没有填写描述
Code for the paper "Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift"
Actor Critic using Kronecker-Factored Trust Region
(CEC2022) Fast Moving Natural Evolution Strategy for High-Dimensional Problems
Simple Experiments mainly on Machine Learning
High-performance implementations of several reinforcement learning algorithms and some commonly used benchmark problems (Matlab & C++)
(CEC2023 Tutorial) Foundations and Recent Advances on Natural Evolution Strategies
Matrix-multiplication-only KFAC; Code for ICML 2023 paper on Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning
Approximate Natural Gradient Descent with precision weighted predictive coding
(EvoApps2022) "Towards a Principled Learning Rate Adaptation for Natural Evolution Strategies"
My Master's Thesis on Variational Optimization of Neural Networks written at the Technical University of Denmark
Project definition and implementations for Convex Optimization Course
Faster large mini-batch distributed training w/o. squeezing devices
Official implementation of the NeurIPS 2026 paper: "A Geometric Perspective on Reward Function Updates in Inverse Reinforcement Learning"