Initial release: code for WCL2026-1544 (context-aware embedding masking via DRL)
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#!/bin/bash
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# =========================================================
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# run_drl_improvements.sh
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# DRL performance-improvement experiments to close the gap
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# to MAML at U=4. Each run: 200 epochs, saves to
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# results_improve/<tag>/.
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# Expected wall-clock per run on M-series Mac (MPS): ~15-25 min.
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# =========================================================
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set -e
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cd "/Users/kyo/Documents/AY/논문/5. WCL-DRL"
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EMB="bert_agnews_8000.pt"
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PY="/opt/anaconda3/bin/python"
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OUT="results_improve"
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mkdir -p "$OUT"
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COMMON_ARGS=(
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--mode drl --embed-file "$EMB"
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--users 4 --mux-factor 4
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--epochs 200 --steps-per-epoch 200
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--eval-trials 200
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--det-eval-trials 32
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)
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# ---- A: Baseline (reproduces the existing 200ep run with the same seed)
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echo ">>> [A] baseline (log_std_init=-1.0, rank=64)"
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$PY Code/drl_mask_policy.py "${COMMON_ARGS[@]}" \
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--log-std-init -1.0 --rank 64 \
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--save-dir "$OUT/A_baseline" \
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2>&1 | tee "$OUT/A_baseline.log" | tail -3
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# ---- B: Reduced sigma (log_std_init = -2.0 → sigma ~ 0.14)
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# Reduces the ~0.12 stochastic-sample bias that we measured.
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echo ">>> [B] low-sigma (log_std_init=-2.0, rank=64)"
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$PY Code/drl_mask_policy.py "${COMMON_ARGS[@]}" \
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--log-std-init -2.0 --rank 64 \
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--save-dir "$OUT/B_lowsigma" \
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2>&1 | tee "$OUT/B_lowsigma.log" | tail -3
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# ---- C: Higher rank (r=128) for more expressive mask generator
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echo ">>> [C] higher-rank (log_std_init=-1.0, rank=128)"
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$PY Code/drl_mask_policy.py "${COMMON_ARGS[@]}" \
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--log-std-init -1.0 --rank 128 \
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--save-dir "$OUT/C_rank128" \
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2>&1 | tee "$OUT/C_rank128.log" | tail -3
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# ---- D: Combination: low-sigma + higher-rank (recommended)
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echo ">>> [D] combo (log_std_init=-2.0, rank=128)"
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$PY Code/drl_mask_policy.py "${COMMON_ARGS[@]}" \
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--log-std-init -2.0 --rank 128 \
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--save-dir "$OUT/D_combo" \
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2>&1 | tee "$OUT/D_combo.log" | tail -3
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# ---- E: Low sigma + larger PPO batch (richer updates per policy step)
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echo ">>> [E] low-sigma + larger ppo-batch (log_std_init=-2.0, rank=64, B=128)"
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$PY Code/drl_mask_policy.py "${COMMON_ARGS[@]}" \
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--log-std-init -2.0 --rank 64 --ppo-batch 128 \
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--save-dir "$OUT/E_bigbatch" \
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2>&1 | tee "$OUT/E_bigbatch.log" | tail -3
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echo "=== All runs finished. Now analyze: ==="
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echo " $PY Code/analyze_drl_improvements.py"
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