yuanzhi0515

yuanzhi0515's Stars

• romkatv/powerlevel10k

  A Zsh theme

  Language:Shell46k1822.5k2.2k

• pdm-project/pdm

  A modern Python package and dependency manager supporting the latest PEP standards

  Language:Python7.9k371.7k392

• WooooDyy/LLM-Agent-Paper-List

  The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.

  6.5k13313387

• kf-liu/The-Art-of-Linear-Algebra-zh-CN

  Graphic notes on Gilbert Strang's "Linear Algebra for Everyone", 线性代数的艺术中文版, 欢迎PR.

  Language:PostScript4.4k400449

• facebookresearch/Pearl

  A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.

  Language:Jupyter Notebook2.6k3357158

• DLR-RM/rl-baselines3-zoo

  A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

  Language:Python2k22251513

• Replicable-MARL/MARLlib

  One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)

  Language:Python90410154145

• facebookresearch/home-robot

  Mobile manipulation research tools for roboticists

  Language:Python89630161124

• google-research/rliable

  [NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.

  Language:Jupyter Notebook759111746

• chauncygu/Safe-Reinforcement-Learning-Baselines

  The repository is for safe reinforcement learning baselines.

  Language:Jupyter Notebook48712075

• intelligent-environments-lab/CityLearn

  Official reinforcement learning environment for demand response and load shaping

  Language:Python4702057171

• PKU-Alignment/safety-gymnasium

  NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark

  Language:Python38492653

• PKU-Alignment/Safe-Policy-Optimization

  NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms

  Language:Python32271046

• HorizonRobotics/alf

  Agent Learning Framework https://alf.readthedocs.io

  Language:Python2981325349

• Plankson/awesome-explainable-reinforcement-learning

  A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges

  2066022

• chauncygu/Multi-Agent-Constrained-Policy-Optimisation

  Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).

  Language:Python14321024

• Allenpandas/Tutorial4RL

  Tutorial4RL: Tutorial for Reinforcement Learning. 强化学习入门教程.

  111508

• NREL/PowerGridworld

  PowerGridworld provides users with a lightweight, modular, and customizable framework for creating power-systems-focused, multi-agent Gym environments that readily integrate with existing training frameworks for reinforcement learning (RL). https://arxiv.org/abs/2111.05969

  Language:Python10510029

• ascendho/Linear-Algebra-and-Its-Applications

  Linear Algebra and Its Application(5th version) case study、project、application、exercise、code、notes and textbook

  Language:MATLAB71109

• Karl-Zhuo/Dataset-of-HRP-38-test-system

  This repository includes the dataset of HRP-38 system in both .xlsx and .mat file. The index of the selected typical day used in Case Study is also included.

  Language:MATLAB641013

• BDonnot/lightsim2grid

  LightSim2grid implements a c++ backend targeting the Grid2Op (https://github.com/rte-france/grid2op) platform.

  Language:C++493499

• xiaoniumang/pandapower

  ieee 33 bus and 69 bus system modelling using pandapower

  Language:Python39212

• gmargo11/hDQN

  Implementation of Hierarchical Deep Q-Learning (Kulkarni et al., 2016)

  Language:Python34016

• bitzhangcy/Safe-Deep-Reinforcement-Learning

  32305

• wadx2019/rpo

  Official implementation for the NeurIPS 2023 paper: "Reduced Policy Optimization for Continuous Control with Hard Constraints"

  Language:Python25225

• bigaidream-projects/citylearn-2020-pikapika

  CityLearn Challenge Multi-Agent Reinforcement Learning for Intelligent Energy Management, 2020, PikaPika team

  Language:Python24224

• beiningwu7/optimization_spring_2021

  Course resource for the optimization algorithm course in spring 2021. The course is lectured by prof. Zhouwang Yang.

  17102

• rlsummerschool/practical-sessions

  Language:Jupyter Notebook17603

• hnyu/seditor

  Code release for the paper "Towards Safe Reinforcement Learning with a Safety Editor Policy", Yu et al., arXiv 2022

  Language:Dockerfile13231

• QasimWani/ZOiRL

  Zeroth-Order Implicit Reinforcement Learning. 🏆 Winner of 2021 CityLearn RL research competition!

  Language:Jupyter Notebook6332