TalkRL: The Reinforcement Learning Podcast cover image

Danijar Hafner 2

TalkRL: The Reinforcement Learning Podcast

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The Importance of Goal Constrained RL

Director goals are states from the environment where observations are right. Goals are representations or states of the world model. And because we have a decoder in the world model, we can actually look at them in image space and interpret what the thing is doing. Interpret what sub goals it's choosing to decompose some long horizon task.

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