Quantao Yang
Tjänstetitel: Forskningsassistent (doktorand) Organisation: Institutionen för naturvetenskap och teknikE-post: quantao.yang@oru.se
Telefon: 019 303000 (växel)
Rum: T1212

Forskningsprojekt
Pågående projekt
Forskargrupper
Publikationer
Artiklar i tidskrifter |
Doktorsavhandlingar, sammanläggningar |
Konferensbidrag |
Artiklar i tidskrifter
- Yang, Q. , Stork, J. A. & Stoyanov, T. (2022). MPR-RL: Multi-Prior Regularized Reinforcement Learning for Knowledge Transfer. IEEE Robotics and Automation Letters, 7 (3), 7652-7659.
- Yang, Q. , Dürr, A. , Topp, E. A. , Stork, J. A. & Stoyanov, T. (2022). Variable Impedance Skill Learning for Contact-Rich Manipulation. IEEE Robotics and Automation Letters, 7 (3), 8391-8398.
Doktorsavhandlingar, sammanläggningar
- Yang, Q. (2023). Robot Skill Acquisition through Prior-Conditioned Reinforcement Learning. (Doctoral dissertation). (Sammanläggning) Örebro: Örebro University.
Konferensbidrag
- Yang, Q. , Stork, J. A. & Stoyanov, T. (2022). Transferring Knowledge for Reinforcement Learning in Contact-Rich Manipulation. Konferensbidrag vid 2nd RL-CONFORM Workshop at IROS 2022, October 23, 2022.
- Yang, Q. , Dürr, A. , Topp, E. A. , Stork, J. A. & Stoyanov, T. (2021). Learning Impedance Actions for Safe Reinforcement Learning in Contact-Rich Tasks. I: NeurIPS 2021 Workshop on Deployable Decision Making in Embodied Systems (DDM). Konferensbidrag vid NeurIPS 2021 Workshop on Deployable Decision Making in Embodied Systems (DDM), (Online conference), Sydney, Australia, December 6-14, 2021.
- Yang, Q. , Stork, J. A. & Stoyanov, T. (2021). Null space based efficient reinforcement learning with hierarchical safety constraints. I: 2021 European Conference on Mobile Robots (ECMR). Konferensbidrag vid European Conference on Mobile Robots (ECMR 2021), Virtual meeting, August 31 - September 3, 2021. IEEE.