qianhui9

qianhui9's Stars

• NetworkCommunication/ofpmccv

  Overtaking Feasibility Prediction for Mixed Connected and Connectionless Vehicles

  Language:Python2

• AI-Guru/xlstm-resources

  Resources about xLSTM by Sepp Hochreiter

  26516

• MatteoFasulo/HeartDisease-Dashboard

  Heart Disease Risk Assessment using Bayesian Networks

  Language:Python1

• MatteoFasulo/BayesianHeartDisease

  Heart Disease Risk Assessment using Bayesian Networks

  Language:Jupyter Notebook41

• haoyuhu/cluster-analysis

  K-Means++(HCM), Fuzzy C-Means(FCM), Hierarchical Clustering, DBscan

  Language:Python32583

• DongChen06/MARL_CAVs

  MARL for Autonomous Vehicles

  Language:Python23543

• agi-brain/xuance

  XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

  Language:Python56498

• Lizhi-sjtu/MARL-code-pytorch

  Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.

  Language:Python40550

• philtabor/Multi-Agent-Reinforcement-Learning

  PyTorch implementations of MADDPG, MAPPO (coming)

  Language:Python619

• taosdata/TDengine

  High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios

  Language:C23.2k4.8k

• hustlei/AI_DA

  数据分析、科学计算、人工智能知识、思维导图及练习代码

  Language:Jupyter Notebook1614

• thieu1995/mealpy

  A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)

  Language:Python859174

• DLR-RM/stable-baselines3

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

  Language:Python8.6k1.6k

• hill-a/stable-baselines

  A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

  Language:Python4.1k726

• callmespring/CausalRL

  Implementation of "Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework" (JASA 2023)

  Language:Python252

• vluzko/causal_rl

  Causal models for reinforcement learning

  Language:Python5

• GilgameshD/GRADER

  This is the official implementation of NeurIPS 2022 paper "Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning"

  Language:Python304

• Tom1042roboai/CausalCF

  Causal Counterfactuals for Improving the Robustness of Reinforcement Learning

  Language:Python8

• wxyinucas/Time-Dependent-Causal-Effects-Evaluation-in-A-B-Testing-with-a-Reinforcement-Learning-Framework

  The code of Numerical Experiment

  Language:Python34

• sagar-singh20/Causal-Reinforcement-Learning

  Language:Python6

• polixir/causal-mbrl

  Toolkit of Causal Model-based Reinforcement Learning.

  Language:Python321

• bojone/vae

  a simple vae and cvae from keras

  Language:Python1.2k376

• SpartanBin/mobile_crowd_sensing

  Use multi-agent ReinForcement Learning on mobile crowd sensing.

  Language:Python92

• blindmotion/detector

  Detects turns, overtakes, line changes based on sensors data

  Language:Matlab154

• perseus784/Vehicle_Overtake_Double_DQN

  A Reinforcement Learning agent to perform overtaking action using Double DQN based CNNs which takes images as input built using TensorFlow.

  Language:Python233

• byq-luo/Lane_change_RL

  make lane change decisions in highway environment based on DRL

  217

• tensorflow/models

  Models and examples built with TensorFlow

  Language:Python76.9k45.8k

• cityflow-project/CityFlow

  A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario

  Language:C++781171

• ML-Tina/HigwayOvertakingLaneChanges

  Lane Changes in a Highway environment using Reinforcement learning in SUMO

  Language:Python4515

• YoungYoung619/reinforcement-learning-based-driving-decision-in-Carla

  reinforcement learning based agents for self-driving in CARLA

  Language:Python6421