zhangjw-THU

zhangjw-THU's Stars

• JiaweiZhang-THU/CAVSim

  CAVSim: a traffic simulator for connected and automated vehicles (CAVs)

  Language:C++388

• eclipse-sumo/sumo

  Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.

  Language:C++2.5k1.4k

• AboudyKreidieh/truck-code

  Collection of code for platooning a string of automated trucks via cooperative adaptive cruise control (CACC).

  Language:C++2113

• csacanam/cacc

  CACC (Collaborative Adaptive Cruise Control - http://en.wikipedia.org/wiki/Cooperative_Adaptive_Cruise_Control) library for C++

  Language:C++74

• glgh/w99-demo

  Wiedemann 99 Car Following Model Explained.

  Language:JavaScript174

• Jacklinkk/TorchGRL

  TorchGRL is the source code for our paper Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic Environments.

  Language:Python7810

• evarun22/Tactical-Decision-Making-for-Autonomous-Driving-Using-Reinforcement-Learning

  Language:Python258

• chauvinSimon/Hierarchical-Decision-Making-for-Autonomous-Driving

  Rich literature review and discussion on the implementation of "Hierarchical Decision-Making for Autonomous Driving"

  5814

• MajidMoghadam2006/frenet-trajectory-planning-framework

  Language:Python5014

• chauvinSimon/My_Bibliography_for_Research_on_Autonomous_Driving

  Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"

  44197

• mli/paper-reading

  深度学习经典、新论文逐段精读

  26.3k2.4k

• zhangjw-THU/Face-Deformation

  人脸变形；B样条；TSP；各类插值算法；人脸检测

  Language:C++52

• AMR-/Conservative-Q-Improvement

  Conservative Q-Improvement is a reinforcement learning method that builds a decision tree as the policy. Nodes represent abstract states, with leaves corresponding to actions to execute.

  Language:Python4

• Jack-Cherish/Machine-Learning

  :zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

  Language:Python8.9k5.1k

• decisionforce/CoPO

  [NeurIPS 2021] Official implementation of paper "Learning to Simulate Self-driven Particles System with Coordinated Policy Optimization".

  Language:Jupyter Notebook11721

• HzcIrving/DecisionTransformer_StepbyStep

  Decision Transformer: A brand new Offline RL Pattern.

  Language:Python331

• kzl/decision-transformer

  Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

  Language:Python2.3k440

• uoe-agents/epymarl

  An extension of the PyMARL codebase that includes additional algorithms and environment support

  Language:Python465135

• xuehy/pytorch-maddpg

  A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)

  Language:Python605122

• prosysscience/JSSEnv

  An OpenAi Gym environment for the Job Shop Scheduling problem.

  Language:Python18754

• zcaicaros/L2D

  Official implementation of paper "Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning"

  Language:Python28793

• sisl/AutonomousMerging.jl

  Implementation of a highway merging scenario

  Language:Julia309

• pengzhenghao/ChinaSpaceMissionBadges

  **航天任务徽章大赏

  Language:Python21

• iosvpn/iosvpn.github.io

  iPhone和iOS 翻墙梯子VPN推荐，2024**苹果手机iPhone翻墙软件和科学上网避坑指南，稳定梯子推荐。

  Language:HTML17912

• rail-berkeley/rlkit

  Collection of reinforcement learning algorithms

  Language:Python2.5k550

• luuuyi/CBAM.PyTorch

  Non-official implement of Paper：CBAM: Convolutional Block Attention Module

  Language:Python1.3k286

• Felhof/DiscreteSAC

  Language:Python394

• nikhilbarhate99/PPO-PyTorch

  Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

  Language:Python1.6k341

• openai/spinningup

  An educational resource to help anyone learn deep reinforcement learning.

  Language:Python10k2.2k

• p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch

  PyTorch implementations of deep reinforcement learning algorithms and environments

  Language:Python5.6k1.2k