RLAlgorithm .OpenDILab Decision AI Engine
active 2023-08-15 → 2026-06-06 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1027 days from 2023-08-15 to 2026-06-06. Pushes: 322 total, peak 10 in a day. Pull requests: 164 total, peak 5 in a day. Issues: 125 total, peak 4 in a day. Comments: 722 total, peak 30 in a day. Stars: 1,668 total, peak 14 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| PaParaZz1 | 804 | 176 | 87 | 353 |
| zjowowen | 232 | 0 | 14 | 110 |
| puyuan1996 | 155 | 7 | 13 | 91 |
| github-actions[bot] | 100 | 100 | 0 | 0 |
| kxzxvbk | 37 | 0 | 6 | 16 |
| AltmanD | 33 | 0 | 4 | 18 |
| Berit-chengyi | 23 | 23 | 0 | 0 |
| codecov[bot] | 23 | 0 | 0 | 23 |
| WangJuan6 | 20 | 0 | 0 | 10 |
| TuTuHuss | 19 | 16 | 2 | 1 |
| HarryXuancy | 18 | 0 | 0 | 12 |
| Cloud-Pku | 17 | 0 | 2 | 13 |
| zhixiongzh | 13 | 0 | 0 | 8 |
| nighood | 13 | 0 | 7 | 3 |
| neal2164 | 13 | 0 | 0 | 3 |
| MarkHolmstrom | 8 | 0 | 1 | 3 |
| prowgrammmer | 7 | 0 | 0 | 4 |
| ruiheng123 | 6 | 0 | 6 | 0 |
| Nnasan | 5 | 0 | 0 | 3 |
| rongkunxue | 5 | 0 | 5 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#877PaParaZz12026-01-12 02:31ding/example/mappo.py在pettingzoo 1.24.3时报错
- Issue#877PaParaZz12026-01-12 02:31ding/example/mappo.py在pettingzoo 1.24.3时报错
- Issue#877seaweed-swd2026-01-11 07:15ding/example/mappo.py在pettingzoo 1.24.3时报错
- Issue comment#874PaParaZz12025-10-22 08:03[Secuirty] Remote Code Execution by Pickle Deserialization via ding/framework/parallel/_handle_message() in opendilab/DI-engine
- Issue#874Chenpinji2025-10-07 13:41[Secuirty] Remote Code Execution by Pickle Deserialization via ding/framework/parallel/_handle_message() in opendilab/DI-engine
- Issue comment#869xuxiaolon2025-08-14 05:51di-engine 0.5.3 requires numpy<2,>=1.18.0
- Issue#872bbkankit2025-08-12 06:52URGENT: Leaked GitHub Token with Admin Scopes Affecting OpenDILab
- Pull request#870PaParaZz12025-07-29 15:03
- Pull request#870xiaoyi17342025-07-17 02:21
- Issue comment#869PaParaZz12025-07-11 11:47di-engine 0.5.3 requires numpy<2,>=1.18.0
- Issue#869Johnny-Zhang922025-07-11 10:40di-engine 0.5.3 requires numpy<2,>=1.18.0
- Issue comment#865Nnasan2025-06-13 09:03How to Configure DI-engine for Single Custom Environment Setup in Training and Evaluation?
- Pull request#866PaParaZz12025-06-03 14:36
- Issue comment#850puyuan19962025-06-03 04:02Noisy Net Issue
- Issue comment#863PaParaZz12025-05-29 04:27confused about code in guided_cost_reward_model.py
- Issue comment#867Nnasan2025-05-28 09:00尝试多重离散动作的环境,policy收集的数据格式报错
- Issue comment#865PaParaZz12025-05-28 07:35How to Configure DI-engine for Single Custom Environment Setup in Training and Evaluation?
- Issue comment#863PaParaZz12025-05-28 07:18confused about code in guided_cost_reward_model.py
- Issue comment#867Nnasan2025-05-28 04:42尝试多重离散动作的环境,policy收集的数据格式报错
- Issue#867Nnasan2025-05-25 10:49尝试多重离散动作的环境,policy收集的数据格式报错
- Pull request#866puyuan19962025-04-17 07:28
- Issue comment#864battery72025-04-13 07:20The problem of different action time scales
- Issue comment#862battery72025-04-13 07:18How to apply action masks in HPPO
- Issue comment#865PaParaZz12025-04-12 12:54How to Configure DI-engine for Single Custom Environment Setup in Training and Evaluation?
- Issue comment#864PaParaZz12025-04-12 12:52The problem of different action time scales
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1,668 stars here means stars gained during the window, not the repo's star count.