qianhui9's Stars
NetworkCommunication/ofpmccv
Overtaking Feasibility Prediction for Mixed Connected and Connectionless Vehicles
AI-Guru/xlstm-resources
Resources about xLSTM by Sepp Hochreiter
MatteoFasulo/HeartDisease-Dashboard
Heart Disease Risk Assessment using Bayesian Networks
MatteoFasulo/BayesianHeartDisease
Heart Disease Risk Assessment using Bayesian Networks
haoyuhu/cluster-analysis
K-Means++(HCM), Fuzzy C-Means(FCM), Hierarchical Clustering, DBscan
DongChen06/MARL_CAVs
MARL for Autonomous Vehicles
agi-brain/xuance
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
Lizhi-sjtu/MARL-code-pytorch
Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.
philtabor/Multi-Agent-Reinforcement-Learning
PyTorch implementations of MADDPG, MAPPO (coming)
taosdata/TDengine
High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios
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
thieu1995/mealpy
A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)
DLR-RM/stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
hill-a/stable-baselines
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
callmespring/CausalRL
Implementation of "Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework" (JASA 2023)
vluzko/causal_rl
Causal models for reinforcement learning
GilgameshD/GRADER
This is the official implementation of NeurIPS 2022 paper "Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning"
Tom1042roboai/CausalCF
Causal Counterfactuals for Improving the Robustness of Reinforcement Learning
wxyinucas/Time-Dependent-Causal-Effects-Evaluation-in-A-B-Testing-with-a-Reinforcement-Learning-Framework
The code of Numerical Experiment
sagar-singh20/Causal-Reinforcement-Learning
polixir/causal-mbrl
Toolkit of Causal Model-based Reinforcement Learning.
bojone/vae
a simple vae and cvae from keras
SpartanBin/mobile_crowd_sensing
Use multi-agent ReinForcement Learning on mobile crowd sensing.
blindmotion/detector
Detects turns, overtakes, line changes based on sensors data
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.
byq-luo/Lane_change_RL
make lane change decisions in highway environment based on DRL
tensorflow/models
Models and examples built with TensorFlow
cityflow-project/CityFlow
A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
ML-Tina/HigwayOvertakingLaneChanges
Lane Changes in a Highway environment using Reinforcement learning in SUMO
YoungYoung619/reinforcement-learning-based-driving-decision-in-Carla
reinforcement learning based agents for self-driving in CARLA