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Equation 1 · Part 7 · How Robotics and Embodied AI Actually Work

Symbol o

s^t+1=fθ(st,at),o^t+1∼pθ(o∣s^t+1)\hat{s}_{t+1} = f_\theta(s_t, a_t), \qquad \hat{o}_{t+1} \sim p_\theta(o \mid \hat{s}_{t+1})
oo

What this part means

o is one of the signed contributions combined to compute the quantity on the left.

Its job in the formula

o is one of the signed contributions combined to compute the quantity on the left.

The passage around this formula

Dreamer-style world models learn a compact latent-dynamics model — a recurrent state-space model that predicts both a stochastic and a deterministic component of future latent state — and then train a policy by backpropagating through imagined rollouts inside that latent space, rather than through real or simulated environment steps directly [ 8 ] . DayDreamer took that specific mechanism, previously demonstrated mostly in video-game and simulated benchmarks, and applied it to physical robots learning online, without a simulator and without human demonstrations, reporting that four different physical robots (a quadruped and several manipulator arms) learned locomotion and manipulation skills…

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Learn the underlying idea

A variable is a named place for a value. Its letter is a local label: x can mean position in one formula and a data point in another.

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Sources cited in the surrounding passage

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