Physical Intelligence 用 RL token 微调 π-0.6
The key idea with RL tokens (RLT) is to compress our model’s (e.g., π-0.6) internal representations into a concise feature vector, which can be used by a very s
AI 导读
RL token（RLT）的核心思路是，把我们模型（如 π-0.6）的内部表示压缩成一个简洁的特征向量，供一个非常小的 actor 和 critic 网络使用，该网络能在机器人练习任务的同时实时训练。
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The key idea with RL tokens (RLT) is to compress our model’s (e.g., π-0.6) internal representations into a concise feature vector, which can be used by a very small actor and critic network that trains in real time even as the robot is practicing the task. https://t.co/IbXOFRGvnY