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def train_SASR(
    D_train,         # Dataset of (question x, chain-of-thought e, answer y) tuples
    W,               # Number of warm-up (pure SFT) steps
    T,               # Number of adaptive (SFT+GRPO) steps
    policy,          # Initial policy π^(0)_θ (e.g., a pretrained LLM)
    G,               # Group size for GRPO (number of sampled chains per prompt)
    gamma            # Hyperparameter γ used in computing p_t
):
    """
    Returns:

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