Deep Reinforcement Learning for Real-World Humanoid Robot Locomotion Control with Automatic Reward Learning.
- DOI
- 10.34133/research.1123
- Published
- 2026
- Container
- Research (Washington, D.C.)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.34133/research.1123,
title = {Deep Reinforcement Learning for Real-World Humanoid Robot Locomotion Control with Automatic Reward Learning.},
author = {Lu R and Wang J and Shao Z and Chen R and Zhu L and Jiang Y and Pang Y and Liang D and Shi Y and Ding H},
year = {2026},
journal = {Research (Washington, D.C.)},
doi = {10.34133/research.1123},
url = {https://doi.org/10.34133/research.1123}
}RIS
TY - JOUR TI - Deep Reinforcement Learning for Real-World Humanoid Robot Locomotion Control with Automatic Reward Learning. AU - Lu R AU - Wang J AU - Shao Z AU - Chen R AU - Zhu L AU - Jiang Y AU - Pang Y AU - Liang D AU - Shi Y AU - Ding H PY - 2026 JO - Research (Washington, D.C.) DO - 10.34133/research.1123 UR - https://doi.org/10.34133/research.1123 ER -
APA
R, L., J, W., Z, S., R, C., L, Z., Y, J., Y, P., D, L., Y, S., & H, D. (2026). Deep Reinforcement Learning for Real-World Humanoid Robot Locomotion Control with Automatic Reward Learning.. Research (Washington, D.C.). https://doi.org/10.34133/research.1123
Source records
- pubmed · retrieved 2026-09-24T21:21:22.829Z