Ali Ghadirzadeh
Ali Ghadirzadeh
Dirección de correo verificada de stanford.edu
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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
782017
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
292016
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
232018
Affordance learning for end-to-end visuomotor robot control
A Hämäläinen, K Arndt, A Ghadirzadeh, V Kyrki
arXiv preprint arXiv:1903.04053, 2019
172019
Meta Reinforcement Learning for Sim-to-real Domain Adaptation
K Arndt, M Hazara, A Ghadirzadeh, V Kyrki
arXiv preprint arXiv:1909.12906, 2019
132019
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
122016
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
Adversarial Feature Training for Generalizable Robotic Visuomotor Control
X Chen, A Ghadirzadeh, M Björkman, P Jensfelt
arXiv preprint arXiv:1909.07745, 2019
62019
Sensorimotor Robot Policy Training using Reinforcement Learning
A Ghadirzadeh
KTH Royal Institute of Technology, 2018
52018
Imitating by generating: deep generative models for imitation of interactive tasks
J Bütepage, A Ghadirzadeh, ÖÖ Karadag, M Björkman, D Kragic
arXiv preprint arXiv:1910.06031, 2019
42019
Meta-Learning for Multi-objective Reinforcement Learning
X Chen, A Ghadirzadeh, M Björkman, P Jensfelt
arXiv preprint arXiv:1811.03376, 2018
42018
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
32020
Few-shot model-based adaptation in noisy conditions
K Arndt, A Ghadirzadeh, M Hazara, V Kyrki
arXiv preprint arXiv:2010.08397, 2020
22020
Skew-Explore: Learn faster in continuous spaces with sparse rewards
X Chen, Y Gao, A Ghadirzadeh, M Bjorkman, G Castellano, P Jensfelt
22019
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
22019
Human-centered collaborative robots with deep reinforcement learning
A Ghadirzadeh, X Chen, W Yin, Z Yi, M Bjorkman, D Kragic
IEEE Robotics and Automation Letters, 2020
12020
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms
A Ghadirzadeh, X Chen, P Poklukar, C Finn, M Björkman, D Kragic
12020
Imitating by Generating
J Bütepage, A Ghadirzadeh, Ö Öztimur Karadaǧ, M Björkman, D Kragic
Frontiers Research Foundation, 2020
2020
LEARNING A VISUALFORWARD MODEL
A Ghadirzadeh
2013
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Artículos 1–20