Datasets › D4RL
D4RL
D4RL is a collection of environments for offline reinforcement learning. These environments include Maze2D, AntMaze, Adroit, Gym, Flow, FrankKitchen and CARLA.
Source: https://sites.google.com/view/d4rl/home Image Source: https://sites.google.com/view/d4rl/home
Benchmarks archive 2025-07-28
All 2 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| D4RL | D4RL | PMDB Average Reward 88.2 | Model-Based Offline Reinforcement Learning with... | huawei-noah/HEBO +2 | 9 | Compare |
| Offline RL | D4RL | KFC Average Reward 81.8 | Koopman Q-learning: Offline Reinforcement Learning via... | — | 3 | Compare |
Papers archive 2025-07-28
10 shown of 10 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 538. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
Dataset loaders archive 2025-07-28
4 loaders as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- D4RL
1 variant name, as the archive lists them.
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