关于
This skill uses maximum entropy reinforcement learning and domain randomization to train robust policies in simulation that transfer effectively to real-world robotics. It employs information-theoretic methods to align simulation and reality by maximizing policy entropy during training and minimizing uncertainty at deployment. Developers should use it when needing to bridge the sim-to-real gap for robotic control tasks requiring adaptability to real-world variations.
快速安装
Claude Code
推荐npx skills add plurigrid/asi -a claude-code/plugin add https://github.com/plurigrid/asigit clone https://github.com/plurigrid/asi.git ~/.claude/skills/entropy-sim2real在 Claude Code 中复制并粘贴此命令以安装该技能
GitHub 仓库
Frequently asked questions
What is the entropy-sim2real skill?
entropy-sim2real is a Claude Skill by plurigrid. Skills package instructions and resources that Claude loads on demand, so Claude can perform entropy-sim2real-related tasks without extra prompting.
How do I install entropy-sim2real?
Use the install commands on this page: add entropy-sim2real to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.
What category does entropy-sim2real belong to?
entropy-sim2real is in the robotics-transfer category, tagged ai.
Is entropy-sim2real free to use?
Yes. entropy-sim2real is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.
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