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
Variants: D4RL
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Offline RL | ADMPO | Any-step Dynamics Model Improves Future … | 2024-05-27 |
| Offline RL | KFC | Koopman Q-learning: Offline Reinforcement Learning … | 2021-11-02 |
| Offline RL | Decision Transformer (DT) | Decision Transformer: Reinforcement Learning via … | 2021-06-02 |
Recent papers with results on this dataset: