代码仓库
模型 / 科研
deep rl grasping · BarisYazici
Deep RL Grasping提供用于深度/RGB-D机器人抓取策略的训练和评估代码。
概述
Deep RL Grasping provides training and evaluation code for depth/RGB-D robotic grasping policies.<br><br>Publisher summary：“Train deep reinforcement learning model for robotics grasping. Choose from different perception layers raw Depth, RGBD and autoencoder. Test the learned models in different…”<br><br>Use its repository to inspect the implementation, documentation and supported workflows. This directory record identifies the maintainer, code license and related resources; it does not claim that the project has been installed or tested on your robot.
项目信息
- 维护者
- BarisYazici
- 主要语言
- Python
- 存储库代码许可证
- MIT
- 模型重量许可证
- 未记录
- 数据集许可
- 未记录
- 硬件设计许可证
- 未记录
- 维护
- 未存档在最后记录的元数据中
- 最后观察到的存储库推送
- 2022-07-10
代码许可不会自动涵盖模型权重、数据集或硬件设计。未记录的许可证详细信息需要与发布者确认。
文档部分
- Deep Reinforcement Learning on Robotics Grasping
- Prerequisites (CPU)
- Prerequisites (GPU)
- Installation
- Run Models
- Train models
