Correction to: Demonstration and offset augmented meta reinforcement learning with sparse rewards
In the Page 11, Line 3 published as "For the HalfCheetah Forward Backward task, we use the optimal data from [30] and an inexpert, partially trained SAC [61] policy to generate suboptimal demonstration data, aiming to evaluate the robustness of our algorithm."It should have read as "For the HalfCheetah Forward Backward task, we use the optimal data from [30] and an inexpert, partially trained SAC [61] policy to generate suboptimal demonstration data."
Authors
- Linjing Li (ORCID: https://orcid.org/0000-0002-8737-099X)
- Daniel Dajun Zeng (ORCID: https://orcid.org/0000-0002-9046-222X)
- Jiaqi Liang
- Xiaoxuan Wang (ORCID: https://orcid.org/0000-0003-3308-0759)
- Chengzhi Jiang (ORCID: https://orcid.org/0009-0003-9708-2363)
- Haorui Li
Institutions
- Chinese Academy of Sciences (CN)
- Beijing Academy of Artificial Intelligence (CN)
- Institute of Automation (CN)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- Complex & Intelligent Systems
- Published
- 2025-05-19
- DOI
- https://doi.org/10.1007/s40747-025-01933-6
- Primary Topic
- Reinforcement Learning in Robotics
- Type
- article
- Field-Weighted Citation Impact
- 0.00