---
license: apache-2.0
tags:
- reinforcement-learning
- experiment-artifacts
- dapo
- grpo
- gspo
- codeforces
- skyrl
---

# Jupiter TaskTrove DAPO — campaign artifacts

Standalone artifact archive for the **jupiter-tasktrove-dapo** campaign: a six-arm
objective ablation (GRPO control vs DAPO variants vs GSPO) training
`Qwen/Qwen3-Coder-30B-A3B-Instruct` with agentic RL (MarinSkyRL / SkyRL fully-async GRPO
trainers, Harbor + Daytona sandboxed terminus-2 rollouts) on competitive-programming
tasks, run on JSC Jupiter (GH200) 2026-08-20 → 2026-08-31.

The campaign **closed inconclusive** (platform degradation, a mid-experiment dataset
quality issue, and a DAPO starvation failure mode) — see the linked experiment issue for
the human summary and the operating policy.

## Contents (`artifacts/`)

| path | what it is |
| --- | --- |
| `configs/` | the six arm launch YAMLs (d0 GRPO, d1 DAPO-core, d2 full DAPO, d3 §3.4-only, d4 DAPO+partial-credit, d5 GSPO) |
| `scripts/` | campaign launch/compose-check/gate-watch tooling used on Jupiter |
| `curves/` | per-arm training-curve extraction (CSV cache + plots + `plot_dapo_curves.py`) |
| `evidence/` | preserved incident evidence (e.g. the `wandb.init` shared-mode hang) |
| `preserved/` | cleanup-run preservations: metrics reports/tables, export/upload logs for all six arms |
| `retired/` | logs of retired/superseded chains |
| `cleanup_jtd-*.md` | full rl-agentic-job-cleanup run logs (d0, d5, d1–d4) |
| `EVAL_RESULTS.md` | sealed final eval table (arms vs baseline) |
| `GRPO_VS_DAPO.md` | mechanical GRPO↔DAPO difference map with per-knob provenance |
| `ASYNC_DAPO_IMPLEMENTATIONS.md` | survey of public async-DAPO implementations |
| `TASK_VARIANCE.md` + `task_variance_raw.json` | per-task pass-rate variance analysis |

## Published outputs

- Weights: `laion/jtd-d0-69-30B`, `laion/jtd-d1-18-30B`, `laion/jtd-d2-20-30B`,
  `laion/jtd-d3-60-30B`, `laion/jtd-d4-34-30B`, `laion/jtd-d5-69-30B`
- Training traces: `penfever/jtd-d0` … `penfever/jtd-d5` (d0/d5 full set; d1–d4 at a
  25% conservation subsample)

## Links

- Experiment issue (human tl;dr + operating policy): https://github.com/marin-community/marin/issues/8829
- Base model: Qwen/Qwen3-Coder-30B-A3B-Instruct