# DS Experiments Direction-Speed 动作分解实验数据集。对应 GitHub 仓库 [chainpray/qc](https://github.com/chainpray/qc)。 ## 结构 ``` cube-triple-play-singletask/ └── {task}/ └── {horizon}/ └── {method}/ └── {ds_mode}/ └── seed{N}/ ├── eval.csv # step, success, episode.return, ... ├── flags.json # ds_mode, horizon_length, seed, ... ├── online_agent.csv # critic_loss, actor_loss, alpha, ... ├── env.csv # qpos, qvel, time, ... └── params_*.pkl # 模型 checkpoint(仅 seed0) ``` ## 目录 | 目录 | 内容 | Seeds | Eval | Runs | |------|------|:---:|:---:|:---:| | `task1/h1/rlpd/` | cube-triple-task1 RLPD H=1 | 4 | 50 | 16 | | `task1/h5/rlpd/` | cube-triple-task1 RLPD-AC H=5 | 10 | 100 | 40 | | `task1/h5/rlpd-4s/` | cube-triple-task1 RLPD-AC H=5(旧) | 4 | 50 | 16 | | `task2/h1/rlpd/` | cube-triple-task2 RLPD H=1 | 4 | 50 | 16 | | `task2/h5/rlpd/` | cube-triple-task2 RLPD-AC H=5 | 4 | 50 | 16 | | `task2/h5/fql/` | cube-triple-task2 FQL H=5 | 3 | 50 | 6 | | `task3/h1/rlpd/` | cube-triple-task3 RLPD H=1 | 10 | 100 | 40 | | `task3/h5/rlpd/` | cube-triple-task3 RLPD-AC H=5 | 10 | 100 | 40 | | `task4/h1/rlpd/` | cube-triple-task4 RLPD H=1 | 10 | 100 | 40 | | `task4/h5/rlpd/` | cube-triple-task4 RLPD-AC H=5 | 10 | 100 | 40 | | `task5/h1/rlpd/` | cube-triple-task5 RLPD H=1 | 10 | 100 | 40 | | `task5/h5/rlpd/` | cube-triple-task5 RLPD-AC H=5 | 10 | 100 | 40 | | 其他目录 | 内容 | 实验数 | |------|------|:---:| | `reproduce/` | QC 论文复现实验 | 4 | | `parallel_benchmark/` | 并行训练压力测试 | 2 | > **命名约定**:`h1`/`h5` = horizon length;`none` = TanhNormal baseline;`posthoc`/`stereographic`/`spherical` = DS 模式。`rlpd-4s` 为旧版 4-seed 实验,与新 10-seed 版区分。 ## 使用 ```python from huggingface_hub import hf_hub_download # 下载 task4 H=5 stereographic seed0 的 eval.csv hf_hub_download("SZUEAILab/ds-experiments", "ds_experiments/cube-triple-play-singletask/task4/h5/rlpd/stereographic/seed0/eval.csv", repo_type="dataset") ```