micolxs

micolxs's Stars

• binary-husky/gpt_academic

  为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

  Language:Python67.7k2791.7k8.3k

• google/dopamine

  Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

  Language:Jupyter Notebook10.6k4221721.4k

• openai/spinningup

  An educational resource to help anyone learn deep reinforcement learning.

  Language:Python10.6k2322922.3k

• datawhalechina/easy-rl

  强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

  Language:Jupyter Notebook10.4k791491.9k

• DEAP/deap

  Distributed Evolutionary Algorithms in Python

  Language:Python6k1905211.1k

• hill-a/stable-baselines

  A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

  Language:Python4.2k63952724

• opendilab/DI-engine

  OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

  Language:Python3.2k22216388

• XinJingHao/DRL-Pytorch

  Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)

  Language:Python1.9k99236

• SebLague/Slime-Simulation

  Language:C#1.4k2410251

• rail-berkeley/softlearning

  Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

  Language:Python1.3k37103245

• agi-brain/xuance

  XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

  Language:Python7461588117

• xahidbuffon/Awesome_Underwater_Datasets

  Pointers to large-scale underwater datasets and relevant resources.

  581145127

• FilippoAiraldi/mpc-reinforcement-learning

  Reinforcement Learning with Model Predictive Control

  Language:Python3666847

• baopng/NSGA-II

  Implementation of NSGA-II algorithm in form of a python library.

  Language:Python2045850

• Valdecy/pyMultiobjective

  A python library for the following Multiobjective Optimization Algorithms or Many Objectives Optimization Algorithms: C-NSGA II; CTAEA; GrEA; HypE; IBEA-FC; IBEA-HV; MOEA/D; NAEMO; NSGA II; NSGA III; OMOPSO; PAES; RVEA; SMPSO; SMS-EMOA; SPEA2; U-NSGA III

  Language:Python1695126

• jlubars/RL-MPC-LaneMerging

  Combining Reinforcement Learning with Model Predictive Control for On-Ramp Merging

  Language:Python12611022

• lmarti/nsgaiii

  An implementation of NSGA-III in Python.

  Language:Jupyter Notebook11310152

• FilippoAiraldi/learning-safety-in-mpc-based-rl

  Safety-aware MPC-based RL framework

  Language:Python51308

• xinliu20/MEC

  Language:Python421262

• baggepinnen/Robotlib.jl

  Robotics library written in the Julia programming language

  Language:Julia406109

• MAS-anony/ASN

  Language:Python32217

• UtkarshMishra04/DMD-MPC-RL

  This repository contains the code for our paper on Dynamic Mirror Descent based MPC for Model-Free RL

  Language:Python23304

• xinliu20/GraphCSPN_ECCV2022

  Language:Python21271

• baggepinnen/LTVModels.jl

  Tools to estimate Linear Time-Varying models in Julia

  Language:Julia19423

• yeshenpy/PMIC

  Original PyTorch implementation of PMIC from PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration

  Language:Python18332

• mrjun123/DPETS

  Code for the paper "Practical Probabilistic Model-based Deep Reinforcement Learning by Integrating Dropout Uncertainty and Trajectory Sampling"

  Language:Python131

• baggepinnen/LPVSpectral.jl

  Least-squares (sparse) spectral estimation and (sparse) LPV spectral decomposition.

  Language:Julia12466

• AdrienLin1/MACDPP

  Code for Paper "Effective Multi-agent Reinforcement Learning Control with Relative Entropy Regularization".

  Language:Python7101

• zhaoshitian/rl-tutorials

  basic algorithms of reinforcement learning

  Language:Jupyter Notebook7001

• itstyren/reputationRL-coop

  Code for reproducing the experimental results presented in the paper "Reputation-based Interaction Promotes Cooperation with Reinforcement Learning."

  Language:Jupyter Notebook2100