zhili-zh's repositories
carla
Open-source simulator for autonomous driving research.
Carla_iLQR_MPC
Implementation of the real-time MPC based on iLQR in Carla simulator
DANet
Dual Attention Network for Scene Segmentation (CVPR2019)
POMDPy
POMDPs in Python.
PyTorch-Encoding
A CV Toolkit
GridWorld
Python code Examples of various peoples' Reinforcement Learning/Q-Learning Gridworld code and my own
introml
Python tutorials for introduction to machine learning
LLaVA
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
macbf
Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates
maddpg
Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
Model-Predictive-Control-Carla
Model Predictive Controller tested on Carla simulator on Race track with reference velocity.
Multi-Agent-Deep-Deterministic-Policy-Gradients
A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm
PPO-for-Beginners
A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-part-1-4-613dfc1b14c8.
PPO-PyTorch
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
pytorch-a2c-ppo-acktr-gail
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
pytorch-beginner
pytorch tutorial for beginners
pytorch-maddpg
A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)
ReinforcemengLearningPractice
Reinforcement Learning Algorithm Package & PuckWorld, GridWorld Gym environments
spinningup
An educational resource to help anyone learn deep reinforcement learning.
TCN
Sequence modeling benchmarks and temporal convolutional networks
v2ray
最好用的 V2Ray 一键安装脚本 & 管理脚本