liziniu/policy_optimization

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Python
Created 10 months ago
Updated 9 months ago

liziniu/policy_optimization

liziniu

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Code for Paper (Policy Optimization in RLHF: The Impact of Out-of-preference Data)

ReMax

Code for Paper (ReMax: A Simple, Efficient and Effective Reinforcement Learning Method for Aligning Large Language Models)

RL-PPO-Keras

Proximal Policy Optimization(PPO) with Keras Implementation

Face-Recognition-TX2

Face Recognition on NVIDIA TX2

HyperDQN

Code for ICLR 2022 Paper (HyperDQN: A Randomized Exploration Method for Deep Reinforcement Learning)

ILwSD

RLX

RLX is an RL codebase based on TensorFlow. It implements algorithms like SAC, ACER, GAIL and TRPO. It is easy to use.

ISWBC

Code for NeurIPS 2023 Paper (Imitation Learning from Imperfection: Theoretical Justifications and Algorithms)

liziniu.github.io

Machine-Learning-XJTU-2018

The course of machine learning I take in XJTU, 2018 spring, guided by Prof Deyu Meng

Jupyter Notebook

bib-merge

CVPR-XJTU-2018

2018 Spring Course, Computer Vision and Pattern Recognition, in XJTU

Web_Crawler

Web crawler for several Chinese web pages

Machine-Learning

This is my implementation of algorithms in the book, 《Machine Learning》, by Zhihua Zhou

Jupyter Notebook

High-Dimension-Data-Analysis

High Dimensional Data Analysis: Lasso, Compressed Sensing, AdaBoost

Jupyter Notebook