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PERMANENCE: reversibility-aware RL environment for training LLM agents

8f27137 verified 4 months ago

analyze_run6_confusion.py

2.74 kB
Run 6.1: env precondition fix (destructive DB ops on missing tables short-circuit) 4 months ago
fetch_run5.py

1.05 kB
Run 6: forced variants (eps 50%→70%), β_rank=0.25, R-level bonus, μ=2 PPO epochs, balanced R1-R5 warmup traces 4 months ago
fetch_run6.py

2.33 kB
Run 6: forced variants (eps 50%→70%), β_rank=0.25, R-level bonus, μ=2 PPO epochs, balanced R1-R5 warmup traces 4 months ago
fetch_run7.py

1.92 kB
Run 7: R4/R5 calibration traces — fix git context conflation + destructive DB R4 distinction 4 months ago
fetch_run8.py

2.19 kB
Run 8: disable unlikeliness shaping (β_rank=0.0) — fix classification-task reward inversion that collapsed Run 7 accuracy to 46% 4 months ago
generate_curves.py

11.7 kB
Sync: new curriculum, 6 tasks, composable rubric, latent dynamics 4 months ago
parse_run6_logs.py

2.11 kB
Run 6.1: env precondition fix (destructive DB ops on missing tables short-circuit) 4 months ago
render_results.py

9.49 kB
PERMANENCE: reversibility-aware RL environment for training LLM agents 4 months ago
replay_run6_eval.py

4.04 kB
Run 6.1: env precondition fix (destructive DB ops on missing tables short-circuit) 4 months ago
upload_eval_only.py

2.53 kB
Run 6.1: env precondition fix (destructive DB ops on missing tables short-circuit) 4 months ago
validate_submission.py

13.9 kB
PERMANENCE: reversibility-aware RL environment for training LLM agents 4 months ago
verify_forced_eval_seeds.py

2.79 kB
Run 6.1: env precondition fix (destructive DB ops on missing tables short-circuit) 4 months ago
verify_run7_traces.py

3.03 kB
Run 7: R4/R5 calibration traces — fix git context conflation + destructive DB R4 distinction 4 months ago