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Large Discrete Policy: Advancing Explicit Behavior Modeling with Stochastic Iterative Scoring
Behavior policies are often formulated as continuous generative models, whose iterative denoising processes are expressive but difficult to interpret and prone to producing implausible actions. We propose the Large Discrete Policy (LDiP), a fully discrete behavior modeling framework that selects act
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