The implement of all kinds of dqn reinforcement learning with Pytorch

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

Implementation of some of the Deep Distributional Reinforcement Learning Algorithms.

PFRL: a PyTorch-based deep reinforcement learning library

DI-engine docs (Chinese and English)

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

PyTorch implementation of QR-DQN: Distributional Reinforcement Learning with Quantile Regression

PyTorch implementation of FQF, IQN and QR-DQN.

This is the official code release of the following paper: Hao Dong et al., Temporal Inductive Path Neural Network for Temporal Knowledge Graph Reasoning.

Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).

Implementation of Truncated Quantile Critics method for continuous reinforcement learning. https://bayesgroup.github.io/tqc/

Influence maximization in unknown social networks: Learning Policies for Effective Graph Sampling (official code repository)

Translate PDF, EPub, webpage, metadata, annotations, notes to the target language. Support 20+ translate services.

Code for the paper Fine-Tuning Language Models from Human Preferences

Tuning LLMs with no tears💦; Sample Design Engineering (SDE) for more efficient downstream-tuning.

本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

A list of papers regarding generalization in (deep) reinforcement learning

Inference code for LLaMA models

Long-Term Evolution Project of Reinforcement Learning

ChatGPT资料汇总学习，持续更新......

A Gradio web UI for Large Language Models with support for multiple inference backends.

A pytorch adversarial library for attack and defense methods on images and graphs

A series of large language models developed by Baichuan Intelligent Technology

Deep Reinforcement Learning with pytorch & visdom

Pytorch🍊🍉 is delicious, just eat it! 😋😋

This collection of papers can be used to summarize research about graph reinforcement learning for the convenience of researchers.

This is the official code release of the following paper: Hao Dong et al., Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning.

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."