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Q-Shaped Options (QSO) is introduced, which builds on an architecture with distinct state-value functions, Q functions and policies at each level of the hierarchy, and characterise three desiderata for an action abstraction.
Standard autoregressive (AR) models process high-level task instructions, state history, and transient tokens within a single shared sequence of tokens. Consequently, they lack the architectural mechanisms needed to isolate macro-objectives from context noise. To overcome this single-channel limitation, we introduce La...
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