#!/bin/bash
# Batch runner for U-sweep and ablations on real BERT embeddings.
# Each run uses 60 epochs x 150 steps (~5 min on MPS).
# Outputs saved under results_drl/ with per-run subdirs.

set -e

BASE="/Users/kyo/Documents/AY/논문/5. WCL-DRL"
cd "$BASE"

EMB="bert_agnews_8000.pt"
EPOCHS=60
STEPS=150
PY="/opt/anaconda3/bin/python"

mkdir -p results_sweeps

echo "=== U-sweep: DRL ==="
for U in 1 2 3 5 6; do
    echo ">>> DRL U=$U"
    $PY Code/drl_mask_policy.py \
        --mode drl --embed-file $EMB \
        --users $U --mux-factor 4 \
        --epochs $EPOCHS --steps-per-epoch $STEPS \
        --save-dir results_sweeps/drl_U${U} \
        2>&1 | tail -3
done

echo "=== U-sweep: Joint ==="
for U in 1 2 3 5 6; do
    echo ">>> Joint U=$U"
    $PY Code/drl_mask_policy.py \
        --mode joint --embed-file $EMB \
        --users $U --mux-factor 4 \
        --epochs $EPOCHS --steps-per-epoch $STEPS \
        --save-dir results_sweeps/joint_U${U} \
        2>&1 | tail -3
done

echo "=== Ablation: beta=0 (no orthogonality reward) ==="
$PY Code/drl_mask_policy.py \
    --mode drl --embed-file $EMB \
    --users 4 --mux-factor 4 --beta 0.0 \
    --epochs $EPOCHS --steps-per-epoch $STEPS \
    --save-dir results_sweeps/drl_beta0 \
    2>&1 | tail -3

echo "=== Ablation: r=16 (smaller rank) ==="
$PY Code/drl_mask_policy.py \
    --mode drl --embed-file $EMB \
    --users 4 --mux-factor 4 --rank 16 \
    --epochs $EPOCHS --steps-per-epoch $STEPS \
    --save-dir results_sweeps/drl_r16 \
    2>&1 | tail -3

echo "=== Ablation: r=d_s=3072 (full rank) ==="
$PY Code/drl_mask_policy.py \
    --mode drl --embed-file $EMB \
    --users 4 --mux-factor 4 --rank 3072 \
    --epochs $EPOCHS --steps-per-epoch $STEPS \
    --save-dir results_sweeps/drl_rfull \
    2>&1 | tail -3

echo "=== All sweeps complete ==="
ls -la results_sweeps/