ZHAO YONGQIANG's Projects
吴恩达老师的机器学习课程个人笔记
Dissertation project to simulate a GelSight sensor within a Mujoco environment.
JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
Cloth skin rendering problem solved
A MuJoCo/Gym environment for robot control using Reinforcement Learning. The task of agents in this environment is pixel-wise prediction of grasp success chances.
Python library for Reinforcement Learning.
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 implementations of Generative Adversarial Networks.
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
Source codes for the book "Reinforcement Learning: Theory and Python Implementation"
MuJoCo models for Robotiq grippers
Suite of PyBullet reinforcement learning environments targeted towards using tactile data as the main form of observation.
Asynchronous Reinforcement Learning for UR5 Robotic Arm
Yet another robot framework