metadata
license: mit
tags:
- icml2026
- reproduction
- safe-rl
- trackio
CSPO reproduction artifacts
Artifacts from an independent reproduction of CSPO: Constraint-Sensitive Policy Optimization
for Safe Reinforcement Learning (ICML 2026 spotlight, OpenReview 3ySR3TCMRP).
- Paper code: https://github.com/serval-uni-lu/CSPO (commit
962e696eb1f07b47ac0094bf1a2aa1299f97cc9b) - Full logbook: https://huggingface.co/spaces/nmaher/repro-cspo-constraint-sensitive-policy-optimization-for-safe-reinforcement-learning
Contents
| Path | What it is |
|---|---|
analysis/ |
All recomputed metric tables: recovery metrics (TTS/RP/VF), Claim 5 sensitivity sweep, Claim 1 derivation + live-probe audits, Claim 2 KKT equivalence + rate audits, Claim 3 environment/baseline coverage |
retraining_pointgoal/<ALGO>/seed-<N>/progress.csv |
Per-epoch OmniSafe training logs from our own CSPO vs PPO-Lag retraining on SafetyPointGoal1-v0 (paper hyperparameters, 10M-step budget, 3 seeds, CPU-only) |
All analysis scripts live in the logbook Space's Workspace tab.