Stars
Sharing the joy of robot programming in the spirit of open source
Proximal Policy Optimization (PPO) is a popular state-of-the-art Policy Gradient Method. It is supposed to learn relatively quickly and stable while being much simpler to tune, compared to other st…
PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
This tool develops driving cycles for specific driving style properties (comfort, consumption, fastness, subjective safety) of AVs.It is an ACC simulation of an AV that follows leading vehicle that…
Open code of my published paper: Integrated velocity optimization and energy management for FCHEV: an eco-driving approach based on deep reinforcement learning
Open code of my published paper: Health-considered energy management strategy for fuel cell hybrid electric vehicle based on improved soft actor critic algorithm adopted with Beta policy
7自由度机械臂仿真-空间站抓取悬浮物体;内容涉及正运动学,D-H 建模,逆运动学数值解,只有位置约束的数值解法,路径规划,RRT,广义三次多项式轨迹规划等等。
A Zotero add-on to retrive CNKI meta data. 一个简单的Zotero 插件,用于识别中文元数据
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