A Recursive Spatial Model Index

Implementations of Reinforcement Learning and Planning algorithms

Algorithmic complexity attacks for dynamic learned indexes (VLDB'24)

a fully learned index for larger-than-memory databases

WIPE implementation

FINEdex: A Fine-grained Learned Index Scheme for Scalable and Concurrent Memory Systems

A visuailzation tool to make deep understaning and easier debugging for RLHF training.

An elegant PyTorch deep reinforcement learning library.

GPTuner is a manual-reading database tuning system leveraging domain knowlege automatically and extensively to enhance knob tuning process.

Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

Related papers for reinforcement learning, including classic papers and latest papers in top conferences

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

The repository is for safe reinforcement learning baselines.

Paper related to AI4DB techniques

Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.

《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程

Webots project to show how to use Deep Reinforcement Learning with Webots in C++.

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Paper repository for "SWIRL: Selection of Workload-aware Indexes using Reinforcement Learning" (EDBT 2022)

LLM for Index Recommendation

Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shakespeare, mnist, cifar-10 and fashion-mnist. )