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Ali Ghadirzadeh
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2020 – today
- 2023
- [c17]Nona Rajabi, Charles Chernik
, Alfredo Reichlin, Farzaneh Taleb, Miguel Vasco, Ali Ghadirzadeh, Mårten Björkman, Danica Kragic:
Mental Face Image Retrieval Based on a Closed-Loop Brain-Computer Interface. HCI (9) 2023: 26-45 - [c16]Sanaz Sabzevari, Ali Ghadirzadeh, Mårten Björkman, Danica Kragic:
PG-3DVTON: Pose-Guided 3D Virtual Try-on Network. VISIGRAPP (4: VISAPP) 2023: 819-829 - 2022
- [j6]Ali Ghadirzadeh, Petra Poklukar, Karol Arndt, Chelsea Finn, Ville Kyrki, Danica Kragic, Mårten Björkman:
Training and Evaluation of Deep Policies Using Reinforcement Learning and Generative Models. J. Mach. Learn. Res. 23: 174:1-174:37 (2022) - [j5]Sofie Ahlberg, Agnes Axelsson, Pian Yu, Wenceslao Shaw-Cortez
Co-adaptive Human-Robot Cooperation: Summary and Challenges. Unmanned Syst. 10(2): 187-203 (2022) - [c15]Sumeyra Demir Kanik
Improving EEG-based Motor Execution Classification for Robot Control. HCI (14) 2022: 65-82 - [c14]Alfredo Reichlin, Giovanni Luca Marchetti, Hang Yin, Ali Ghadirzadeh, Danica Kragic:
Back to the Manifold: Recovering from Out-of-Distribution States. IROS 2022: 8660-8666 - [c13]Xi Chen, Ali Ghadirzadeh, Tianhe Yu, Jianhao Wang, Alex Yuan Gao, Wenzhe Li, Liang Bin, Chelsea Finn, Chongjie Zhang:
LAPO: Latent-Variable Advantage-Weighted Policy Optimization for Offline Reinforcement Learning. NeurIPS 2022 - [i17]Xi Chen, Ali Ghadirzadeh, Tianhe Yu, Yuan Gao, Jianhao Wang, Wenzhe Li, Bin Liang, Chelsea Finn, Chongjie Zhang:
Latent-Variable Advantage-Weighted Policy Optimization for Offline RL. CoRR abs/2203.08949 (2022) - [i16]Ali Ghadirzadeh, Petra Poklukar, Karol Arndt, Chelsea Finn, Ville Kyrki, Danica Kragic, Mårten Björkman:
Training and Evaluation of Deep Policies using Reinforcement Learning and Generative Models. CoRR abs/2204.08573 (2022) - [i15]Alfredo Reichlin, Giovanni Luca Marchetti, Hang Yin, Ali Ghadirzadeh, Danica Kragic:
Back to the Manifold: Recovering from Out-of-Distribution States. CoRR abs/2207.08673 (2022) - 2021
- [j4]Artur Czeszumski
Coordinating With a Robot Partner Affects Neural Processing Related to Action Monitoring. Frontiers Neurorobotics 15: 686010 (2021) - [j3]Ali Ghadirzadeh
Human-Centered Collaborative Robots With Deep Reinforcement Learning. IEEE Robotics Autom. Lett. 6(2): 566-571 (2021) - [j2]Karol Arndt
Few-Shot Model-Based Adaptation in Noisy Conditions. IEEE Robotics Autom. Lett. 6(2): 4193-4200 (2021) - [c12]Ali Ghadirzadeh, Xi Chen, Petra Poklukar, Chelsea Finn
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms. IROS 2021: 1274-1280 - [i14]Ali Ghadirzadeh, Xi Chen, Petra Poklukar, Chelsea Finn, Mårten Björkman, Danica Kragic:
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms. CoRR abs/2103.03697 (2021) - 2020
- [j1]Judith Bütepage, Ali Ghadirzadeh, Özge Öztimur Karadag, Mårten Björkman, Danica Kragic:
Imitating by Generating: Deep Generative Models for Imitation of Interactive Tasks. Frontiers Robotics AI 7: 47 (2020) - [c11]Xi Chen, Ali Ghadirzadeh, Mårten Björkman, Patric Jensfelt:
Adversarial Feature Training for Generalizable Robotic Visuomotor Control. ICRA 2020: 1142-1148 - [c10]Karol Arndt, Murtaza Hazara, Ali Ghadirzadeh, Ville Kyrki
Meta Reinforcement Learning for Sim-to-real Domain Adaptation. ICRA 2020: 2725-2731 - [i13]Ali Ghadirzadeh, Xi Chen, Wenjie Yin, Zhengrong Yi, Mårten Björkman, Danica Kragic:
Human-centered collaborative robots with deep reinforcement learning. CoRR abs/2007.01009 (2020) - [i12]Ali Ghadirzadeh, Petra Poklukar, Ville Kyrki, Danica Kragic, Mårten Björkman:
Data-efficient visuomotor policy training using reinforcement learning and generative models. CoRR abs/2007.13134 (2020) - [i11]Karol Arndt, Ali Ghadirzadeh, Murtaza Hazara, Ville Kyrki:
Few-shot model-based adaptation in noisy conditions. CoRR abs/2010.08397 (2020)
2010 – 2019
- 2019
- [c9]Elena Sibirtseva, Ali Ghadirzadeh, Iolanda Leite
Exploring Temporal Dependencies in Multimodal Referring Expressions with Mixed Reality. HCI (10) 2019: 108-123 - [c8]Xi Chen, Ali Ghadirzadeh, Mårten Björkman, Patric Jensfelt:
Meta-Learning for Multi-objective Reinforcement Learning. IROS 2019: 977-983 - [c7]Aleksi Hämäläinen, Karol Arndt, Ali Ghadirzadeh, Ville Kyrki
Affordance Learning for End-to-End Visuomotor Robot Control. IROS 2019: 1781-1788 - [i10]Elena Sibirtseva, Ali Ghadirzadeh, Iolanda Leite, Mårten Björkman, Danica Kragic:
Exploring Temporal Dependencies in Multimodal Referring Expressions with Mixed Reality. CoRR abs/1902.01117 (2019) - [i9]Aleksi Hämäläinen, Karol Arndt, Ali Ghadirzadeh, Ville Kyrki:
Affordance Learning for End-to-End Visuomotor Robot Control. CoRR abs/1903.04053 (2019) - [i8]Xi Chen, Ali Ghadirzadeh, Mårten Björkman, Patric Jensfelt:
Adversarial Feature Training for Generalizable Robotic Visuomotor Control. CoRR abs/1909.07745 (2019) - [i7]Karol Arndt, Murtaza Hazara, Ali Ghadirzadeh, Ville Kyrki:
Meta Reinforcement Learning for Sim-to-real Domain Adaptation. CoRR abs/1909.12906 (2019) - [i6]Judith Bütepage, Ali Ghadirzadeh, Özge Öztimur Karadag, Mårten Björkman, Danica Kragic:
Imitating by generating: deep generative models for imitation of interactive tasks. CoRR abs/1910.06031 (2019) - 2018
- [b1]Ali Ghadirzadeh:
Sensorimotor Robot Policy Training using Reinforcement Learning. KTH Royal Institute of Technology, Sweden, 2018 - [c6]Xi Chen, Ali Ghadirzadeh, John Folkesson
Deep Reinforcement Learning to Acquire Navigation Skills for Wheel-Legged Robots in Complex Environments. IROS 2018: 3110-3116 - [i5]Xi Chen, Ali Ghadirzadeh, John Folkesson, Patric Jensfelt:
Deep Reinforcement Learning to Acquire Navigation Skills for Wheel-Legged Robots in Complex Environments. CoRR abs/1804.10500 (2018) - [i4]Xi Chen, Ali Ghadirzadeh, Mårten Björkman, Patric Jensfelt:
Meta-Learning for Multi-objective Reinforcement Learning. CoRR abs/1811.03376 (2018) - 2017
- [c5]Ali Ghadirzadeh, Atsuto Maki, Danica Kragic, Mårten Björkman:
Deep predictive policy training using reinforcement learning. IROS 2017: 2351-2358 - [i3]Ali Ghadirzadeh, Atsuto Maki, Danica Kragic, Mårten Björkman:
Deep Predictive Policy Training using Reinforcement Learning. CoRR abs/1703.00727 (2017) - 2016
- [c4]Ali Ghadirzadeh, Judith Bütepage, Danica Kragic, Mårten Björkman:
Self-learning and adaptation in a sensorimotor framework. ICRA 2016: 551-558 - [c3]Ali Ghadirzadeh, Judith Bütepage, Atsuto Maki, Danica Kragic, Mårten Björkman:
A sensorimotor reinforcement learning framework for physical Human-Robot Interaction. IROS 2016: 2682-2688 - [i2]Ali Ghadirzadeh, Judith Bütepage, Danica Kragic, Mårten Björkman:
Self-learning and adaptation in a sensorimotor framework. CoRR abs/1601.00852 (2016) - [i1]Ali Ghadirzadeh, Judith Bütepage, Atsuto Maki, Danica Kragic, Mårten Björkman:
A Sensorimotor Reinforcement Learning Framework for Physical Human-Robot Interaction. CoRR abs/1607.07939 (2016) - 2015
- [c2]Ali Ghadirzadeh, Atsuto Maki, Mårten Björkman:
A sensorimotor approach for self-learning of hand-eye coordination. IROS 2015: 4969-4975 - 2014
- [c1]Ali Ghadirzadeh, Gert Kootstra
Learning visual forward models to compensate for self-induced image motion. RO-MAN 2014: 1110-1115
Coauthor Index
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