Name: ZhengWei Li
Type: User
Company: The Institute of Automation, Chinese Academy of Sciences
Bio: Graduated from Xidian University with a bachelor's degree, I am currently studying for a doctorate at the Institute of Automation, Chinese Academy of Sciences.
Location: Beijing China
Blog: https://lzw0123.github.io/
ZhengWei Li's Projects
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
加密版,应用id/机密不再可见
📚 经典技术书籍 PDF 文件,持续更新...
Since the code could not be successfully run according to the instructions of the original warehouse, some adjustments were made.
Use ChatGPT to summarize the arXiv papers. 全流程加速科研,利用chatgpt进行论文总结+润色+审稿+审稿回复
Implementation of the Deep Deterministic Policy Gradient and Hindsight Experience Replay.
PyTorch implementations of deep reinforcement learning algorithms and environments
Models and examples built with TensorFlow
Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥
Github 仓库及用户分析爬虫
PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control
This is my blog!
Multi-agent Combat Arena (UAV swarm vs UAV swarm)
Code for 'Mapping State Space using Landmarks for Universal Goal Reaching'.
Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning
playing around with mujoco
Noisy Networks for Exploration
指针网络+强化学习 解决旅行商(TSP)问题
PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.
Python3网络爬虫实战
Hierarchical-DQN in pytorch (not actively maintained)
Q-network with cross-entropy (CE) method for reinforcement learning.
The aim of project is to control UAV in Vrep-simulator.