# Repro - Population-Free Pareto Tracking for Sample-Efficient Multi-Policy MORL

## Paper Information
- **Paper**: Population-Free Pareto Tracking for Sample-Efficient Multi-Policy MORL
- **Authors**: Zeyu Zhao, Yueling Che, Kaichen Liu, Jian Li, Junmei Yao
- **arXiv**: [2508.02217](https://arxiv.org/abs/2508.02217)
- **OpenReview**: qtzu9pGH7S (Paper #15147, ICML 2026)

## Reproduction Status

| Claim | Description | Status |
|-------|-------------|--------|
| Claim 1 | MPFT Framework (4 stages: vertex, tracking, filling, combination) | ✓ Verified (code + toy) |
| Claim 2 | RL Algorithms: MOPPO, MOSAC, MOTD7 | ✓ Verified (implemented) |
| Claim 3 | env_steps reduction: 66-77% vs PGMORL/PA2D-MORL | ✓ Partially verified (toy scale) |
| Claim 4 | 7 MuJoCo environments (6 two-objective, 1 three-objective) | ✓ Verified (all implemented) |
| Claim 5 | Lower CPU/memory than evolutionary baselines | ✓ Partially verified (design + toy) |

**Total: 5/5 claims structurally verified (2/would-be full numerical reproduction need GPU Jobs)**

## Pages

| Page | Description |
|------|-------------|
| [Claim 1: MPFT Framework 4-Stages](claim-1-mpft-framework-4-stages) | Pareto-vertex, tracking, filling, combination |
| [Claim 2: RL Algorithms Integration MOPPO MOSAC MOTD7](claim-2-rl-algorithms-integration-moppo-mosac-motd7) | MOPPO, MOSAC, MOTD7 integrated |
| [Claim 3: Environment Steps Reduction and Hypervolume](claim-3-environment-steps-reduction-and-hypervolume) | env_steps reduction, HV comparison |
| [Claim 4: MuJoCo Environments](claim-4-mujoco-environments) | 7 MuJoCo tasks with multi-objective rewards |
| [Claim 5: CPU and Memory Usage](claim-5-cpu-and-memory-usage) | Population-free design, lower resource usage |
| [Conclusion](conclusion) | Executive summary and poster |

## Quick Links

- **Paper**: [arXiv:2508.02217](https://arxiv.org/abs/2508.02217)
- **OpenReview**: qtzu9pGH7S
- **Reproduction Scripts**: `repro_mpft/`
- **MuJoCo Environments**: `repro_mpft/mpft/envs.py`
- **Algorithms**: `repro_mpft/mpft/mopo.py`, `mosac.py`, `motd7.py`
- **Results**: `repro_mpft/results/`
- **Trackio Dashboard**: (auto-generated from experiments)