Ghadirzadeh, Ali
Embark Studios, Stockholm, Sweden.
4 papers on CoChatORCID 0000-0001-6738-9872
Most cited papers
- Verified
Deep predictive policy training using reinforcement learning
Ghadirzadeh, A., Maki, A., Kragic, D., & Bjorkman, M. (2017) · 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Reinforcement Learning in RoboticsRobot Manipulation and Learning
Cited by 113
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Meta Reinforcement Learning for Sim-to-real Domain Adaptation
Arndt, K., Hazara, M., Ghadirzadeh, A., & Kyrki, V. (2019) · arXiv
Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning
Cited by 98
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Meta reinforcement learning for sim-to-real domain adaptation
Arndt, K., Hazara, M., Ghadirzadeh, A., & Kyrki, V. (2020) · 2020 IEEE International Conference on Robotics and Automation (ICRA)
Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning
Cited by 97
- Verified
Cross-robot behavior adaptation through intention alignment
Chen, X., Gao, Y., Liu, H., Yang, F., Ghadirzadeh, A., Yang, J., Liang, B., Zhang, C., Lam, T. L., & Zhu, S.-C. (2026) · Science Robotics
Robot Manipulation and LearningReinforcement Learning in Robotics
Cited by 0
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