conglu/vd4rl
V-D4RL V-D4RL provides pixel-based analogues of the popular D4RL benchmarking tasks, derived from the dm_control suite, along with natural extensions of two state-of-the-art online pixel-based continuous control algorithms, DrQ-v2 and DreamerV2, to the offline setting. For further details, please see the paper: Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations; Cong Lu*, Philip J. Ball*, Tim G. J. Rudner, Jack Parker-Holder, Michael A.… See the full description on the dataset page: https://huggingface.co/datasets/conglu/vd4rl.
| Author / organization | conglu |
|---|---|
| License (as declared) | mit |
| Downloads | 3.2K (as reported by Hugging Face) |
| Likes | 6 |
| Created | 3 December 2022 |
| Last updated at source | 4 June 2024 |
Recent changes
- 16 Oct 2026 Description: V-D4RL V-D4RL provides pixel-based analogues of the popular D4RL benchmarking tasks, derived from the dm_control suite, along with natural extensions of two state-of-the-art online pixel-based continuous control algorithms, DrQ-v2 and Dream → V-D4RL V-D4RL provides pixel-based analogues of the popular D4RL benchmarking tasks, derived from the dm_control suite, along with natural extensions of two state-of-the-art online pixel-based continuous control algorithms, DrQ-v2 and Dream
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