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Ali Ghadirzadeh
Ali Ghadirzadeh
Verified email at stanford.edu
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Cited by
Year
Deep predictive policy training using reinforcement learning
A Ghadirzadeh, A Maki, D Kragic, M Björkman
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
1142017
A sensorimotor reinforcement learning framework for physical human-robot interaction
A Ghadirzadeh, J Bütepage, A Maki, D Kragic, M Björkman
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
412016
Meta reinforcement learning for sim-to-real domain adaptation
K Arndt, M Hazara, A Ghadirzadeh, V Kyrki
2020 IEEE International Conference on Robotics and Automation (ICRA), 2725-2731, 2020
402020
Deep reinforcement learning to acquire navigation skills for wheel-legged robots in complex environments
X Chen, A Ghadirzadeh, J Folkesson, M Björkman, P Jensfelt
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
392018
Affordance learning for end-to-end visuomotor robot control
A Hämäläinen, K Arndt, A Ghadirzadeh, V Kyrki
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
312019
Human-centered collaborative robots with deep reinforcement learning
A Ghadirzadeh, X Chen, W Yin, Z Yi, M Björkman, D Kragic
IEEE Robotics and Automation Letters 6 (2), 566-571, 2020
232020
Meta-learning for multi-objective reinforcement learning
X Chen, A Ghadirzadeh, M Björkman, P Jensfelt
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
172019
Adversarial feature training for generalizable robotic visuomotor control
X Chen, A Ghadirzadeh, M Björkman, P Jensfelt
2020 IEEE International Conference on Robotics and Automation (ICRA), 1142-1148, 2020
152020
Self-learning and adaptation in a sensorimotor framework
A Ghadirzadeh, J Bütepage, D Kragic, M Björkman
2016 IEEE International Conference on Robotics and Automation (ICRA), 551-558, 2016
132016
Imitating by generating: Deep generative models for imitation of interactive tasks
J Bütepage, A Ghadirzadeh, Ö Öztimur Karadaǧ, M Björkman, D Kragic
Frontiers in Robotics and AI 7, 47, 2020
112020
Data-efficient visuomotor policy training using reinforcement learning and generative models
A Ghadirzadeh, P Poklukar, V Kyrki, D Kragic, M Björkman
arXiv preprint arXiv:2007.13134, 2020
92020
A sensorimotor approach for self-learning of hand-eye coordination
A Ghadirzadeh, A Maki, M Björkman
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015
92015
Learning visual forward models to compensate for self-induced image motion
A Ghadirzadeh, G Kootstra, A Maki, M Björkman
Robot and Human Interactive Communication, 2014 RO-MAN: The 23rd IEEE …, 2014
82014
Few-shot model-based adaptation in noisy conditions
K Arndt, A Ghadirzadeh, M Hazara, V Kyrki
IEEE Robotics and Automation Letters 6 (2), 4193-4200, 2021
62021
Sensorimotor robot policy training using reinforcement learning
A Ghadirzadeh
KTH Royal Institute of Technology, 2018
62018
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms
A Ghadirzadeh, X Chen, P Poklukar, C Finn, M Björkman, D Kragic
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
52021
Exploring temporal dependencies in multimodal referring expressions with mixed reality
E Sibirtseva, A Ghadirzadeh, I Leite, M Björkman, D Kragic
International Conference on Human-Computer Interaction, 108-123, 2019
42019
Skew-explore: Learn faster in continuous spaces with sparse rewards
X Chen, Y Gao, A Ghadirzadeh, M Bjorkman, G Castellano, P Jensfelt
22019
Training and evaluation of deep policies using reinforcement learning and generative models
A Ghadirzadeh, P Poklukar, K Arndt, C Finn, V Kyrki, D Kragic, ...
arXiv preprint arXiv:2204.08573, 2022
12022
Latent-Variable Advantage-Weighted Policy Optimization for Offline RL
X Chen, A Ghadirzadeh, T Yu, Y Gao, J Wang, W Li, B Liang, C Finn, ...
arXiv preprint arXiv:2203.08949, 2022
12022
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