Unverified50% confidenceFactExact time
In each attempt, 67 world parameters are randomized, including wind speed, wave height, and fuel slosh amplitude; this domain randomization is the key to enabling the agent to adapt to the uncertainties of the real world.
1
Sources
50%
Confidence
Long-term
Relevance
10/20/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedWhen one component of a system already has randomness, stacking a probabilistic component on top of it exponentially amplifies debugging difficulty.75% similarUnverifiedSetting a random seed can only guarantee consistency in initialization, data order, and explicit random sampling; it cannot eliminate non-determinism caused by floating-point parallel computation during backpropagation.67% similarUnverifiedRandomness means exogenous noise is no longer zero, requiring the handling of probabilistic causal models; parallel interactions may cause cycles in the causal graph, necessitating the introduction of the concept of equilibrium.67% similarVerifiedExcessive domain randomization can cause policies to become overly conservative, and certain real-world phenomena (such as deformation of flexible objects) are difficult to cover through simple parameter randomization.67% similarVerifiedLarge model outputs are stochastic (controlled by the Temperature parameter), so a single comparison is not conclusive and requires multiple sampling and statistical comparisons.66% similar
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