Physical Intelligence 为 π-0.6 提出 RL token 微调方法
We developed an RL method for fine-tuning our models for precise tasks in just a few hours or even minutes. Instead of training the whole model, we add an “RL t
AI 导读
Physical Intelligence 开发了一种 RL 方法，可在数小时甚至数分钟内为模型微调出精确任务能力。该方法不训练整个模型，而是在其最新模型 π-0.6 上增加一个 RL token 输出，由很小的 actor 和 critic 网络使用该输出进行快速 RL 学习。其核心思路是把模型内部表示压缩成简洁的特征向量，供小型 actor 和 critic 网络在机器人练习任务时实时训练。
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We developed an RL method for fine-tuning our models for precise tasks in just a few hours or even minutes. Instead of training the whole model, we add an “RL token” output to π-0.6, our latest model, which is used by a tiny actor and critic to learn quickly with RL. https://t.co/KibBVrriEf