tjma005

Pinned Repositories

apriltag
AprilTag is a visual fiducial system popular for robotics research.
Language:C0 0 00
d4pg-pytorch
PyTorch implementation of Distributed Distributional Deterministic Policy Gradients (https://arxiv.org/abs/1804.08617)
Language:Python00
DDPG-her
Implementation of the deep deterministic policy gradient and hindsight experience replay.
Language:Python0 0 00
deep-RL-elements
Deep RL algorithm in pytorch
Language:Jupyter Notebook00
dual_ur5_husky_mujoco
Dual UR5 Husky Robot MuJoCo Model
Language:Shell0 0 00
gym
A toolkit for developing and comparing reinforcement learning algorithms.
Language:Python00
large-scale-curiosity
Code for the paper "Large-Scale Study of Curiosity-Driven Learning"
Language:Python00
ML-notes
notes about machine learning
Language:HTML00
MuJoCo_RL_UR5
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.
Language:Python00
Python-100-Days
Python - 100天从新手到大师
Language:Jupyter Notebook00

tjma005's Repositories

tjma005/apriltag
AprilTag is a visual fiducial system popular for robotics research.
Language:C0 0 00
tjma005/d4pg-pytorch
PyTorch implementation of Distributed Distributional Deterministic Policy Gradients (https://arxiv.org/abs/1804.08617)
Language:Python00
tjma005/DDPG-her
Implementation of the deep deterministic policy gradient and hindsight experience replay.
Language:Python0 0 00
tjma005/deep-RL-elements
Deep RL algorithm in pytorch
Language:Jupyter Notebook00
tjma005/dual_ur5_husky_mujoco
Dual UR5 Husky Robot MuJoCo Model
Language:Shell0 0 00
tjma005/gym
A toolkit for developing and comparing reinforcement learning algorithms.
Language:Python00
tjma005/large-scale-curiosity
Code for the paper "Large-Scale Study of Curiosity-Driven Learning"
Language:Python00
tjma005/ML-notes
notes about machine learning
Language:HTML00
tjma005/MuJoCo_RL_UR5
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.
Language:Python00
tjma005/Python-100-Days
Python - 100天从新手到大师
Language:Jupyter Notebook00
tjma005/pytorch-yolo-v3
A PyTorch implementation of the YOLO v3 object detection algorithm
tjma005/PyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3
tjma005/Reinforce
Reinforcement Learning Algorithm Package & PuckWorld, GridWorld Gym environments
tjma005/shadowsocks-heroku
本项目已删除
1
tjma005/yolov3
YOLOv3 in PyTorch > ONNX > CoreML > iOS
tjma005/zed-multi-camera
ZED SDK sample with multiple ZEDs
Language:C++0 0