Ali Ghadirzadeh

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 38

Top Topics

Generative Model

Reinforcement Learning

Temporal Dependencies

Referring Expressions

Top Venues

IEEE Robotics Autom. Lett.

Publications

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)
Sanaz Sabzevari, Ali Ghadirzadeh, Mårten Björkman, Danica Kragic
PG-3DVTON: Pose-Guided 3D Virtual Try-on Network. VISIGRAPP (4: VISAPP) (2023)
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)
Alfredo Reichlin, Giovanni Luca Marchetti, Hang Yin, Ali Ghadirzadeh, Danica Kragic
Back to the Manifold: Recovering from Out-of-Distribution States. IROS (2022)
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 (2022)
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 (2022)
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 (2022)
Alfredo Reichlin, Giovanni Luca Marchetti, Hang Yin, Ali Ghadirzadeh, Danica Kragic
Back to the Manifold: Recovering from Out-of-Distribution States. CoRR (2022)
Sofie Ahlberg, Agnes Axelsson, Pian Yu, Wenceslao Shaw-Cortez, Alex Yuan Gao, Ali Ghadirzadeh, Ginevra Castellano, Danica Kragic, Gabriel Skantze, Dimos V. Dimarogonas
Co-adaptive Human-Robot Cooperation: Summary and Challenges. Unmanned Syst. 10 (2) (2022)
Sumeyra Demir Kanik, Wenjie Yin, Arzu Guneysu Ozgur, Ali Ghadirzadeh, Mårten Björkman, Danica Kragic
Improving EEG-based Motor Execution Classification for Robot Control. HCI (14) (2022)
Ali Ghadirzadeh, Xi Chen, Petra Poklukar, Chelsea Finn, Mårten Björkman, Danica Kragic
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms. CoRR (2021)
Ali Ghadirzadeh, Xi Chen, Petra Poklukar, Chelsea Finn, Mårten Björkman, Danica Kragic
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms. IROS (2021)
Ali Ghadirzadeh, Xi Chen, Wenjie Yin, Zhengrong Yi, Mårten Björkman, Danica Kragic
Human-Centered Collaborative Robots With Deep Reinforcement Learning. IEEE Robotics Autom. Lett. 6 (2) (2021)
Karol Arndt, Ali Ghadirzadeh, Murtaza Hazara, Ville Kyrki
Few-Shot Model-Based Adaptation in Noisy Conditions. IEEE Robotics Autom. Lett. 6 (2) (2021)
Artur Czeszumski, Anna L. Gert, Ashima Keshava, Ali Ghadirzadeh, Tilman Kalthoff, Benedikt V. Ehinger, Max Tiessen, Mårten Björkman, Danica Kragic, Peter König
Coordinating With a Robot Partner Affects Neural Processing Related to Action Monitoring. Frontiers Neurorobotics 15 (2021)
Karol Arndt, Ali Ghadirzadeh, Murtaza Hazara, Ville Kyrki
Few-shot model-based adaptation in noisy conditions. CoRR (2020)
Ali Ghadirzadeh, Petra Poklukar, Ville Kyrki, Danica Kragic, Mårten Björkman
Data-efficient visuomotor policy training using reinforcement learning and generative models. CoRR (2020)
Karol Arndt, Murtaza Hazara, Ali Ghadirzadeh, Ville Kyrki
Meta Reinforcement Learning for Sim-to-real Domain Adaptation. ICRA (2020)
Ali Ghadirzadeh, Xi Chen, Wenjie Yin, Zhengrong Yi, Mårten Björkman, Danica Kragic
Human-centered collaborative robots with deep reinforcement learning. CoRR (2020)
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 (2020)
Xi Chen, Ali Ghadirzadeh, Mårten Björkman, Patric Jensfelt
Adversarial Feature Training for Generalizable Robotic Visuomotor Control. ICRA (2020)
Aleksi Hämäläinen, Karol Arndt, Ali Ghadirzadeh, Ville Kyrki
Affordance Learning for End-to-End Visuomotor Robot Control. IROS (2019)
Xi Chen, Ali Ghadirzadeh, Mårten Björkman, Patric Jensfelt
Adversarial Feature Training for Generalizable Robotic Visuomotor Control. CoRR (2019)
Xi Chen, Ali Ghadirzadeh, Mårten Björkman, Patric Jensfelt
Meta-Learning for Multi-objective Reinforcement Learning. IROS (2019)
Elena Sibirtseva, Ali Ghadirzadeh, Iolanda Leite, Mårten Björkman, Danica Kragic
Exploring Temporal Dependencies in Multimodal Referring Expressions with Mixed Reality. CoRR (2019)
Elena Sibirtseva, Ali Ghadirzadeh, Iolanda Leite, Mårten Björkman, Danica Kragic
Exploring Temporal Dependencies in Multimodal Referring Expressions with Mixed Reality. HCI (10) (2019)
Karol Arndt, Murtaza Hazara, Ali Ghadirzadeh, Ville Kyrki
Meta Reinforcement Learning for Sim-to-real Domain Adaptation. CoRR (2019)
Aleksi Hämäläinen, Karol Arndt, Ali Ghadirzadeh, Ville Kyrki
Affordance Learning for End-to-End Visuomotor Robot Control. CoRR (2019)
Judith Bütepage, Ali Ghadirzadeh, Özge Öztimur Karadag, Mårten Björkman, Danica Kragic
Imitating by generating: deep generative models for imitation of interactive tasks. CoRR (2019)
Xi Chen, Ali Ghadirzadeh, Mårten Björkman, Patric Jensfelt
Meta-Learning for Multi-objective Reinforcement Learning. CoRR (2018)
Xi Chen, Ali Ghadirzadeh, John Folkesson, Patric Jensfelt
Deep Reinforcement Learning to Acquire Navigation Skills for Wheel-Legged Robots in Complex Environments. CoRR (2018)
Xi Chen, Ali Ghadirzadeh, John Folkesson, Mårten Björkman, Patric Jensfelt
Deep Reinforcement Learning to Acquire Navigation Skills for Wheel-Legged Robots in Complex Environments. IROS (2018)
Ali Ghadirzadeh, Atsuto Maki, Danica Kragic, Mårten Björkman
Deep Predictive Policy Training using Reinforcement Learning. CoRR (2017)
Ali Ghadirzadeh, Atsuto Maki, Danica Kragic, Mårten Björkman
Deep predictive policy training using reinforcement learning. IROS (2017)
Ali Ghadirzadeh, Judith Bütepage, Danica Kragic, Mårten Björkman
Self-learning and adaptation in a sensorimotor framework. CoRR (2016)
Ali Ghadirzadeh, Judith Bütepage, Atsuto Maki, Danica Kragic, Mårten Björkman
A sensorimotor reinforcement learning framework for physical Human-Robot Interaction. IROS (2016)
Ali Ghadirzadeh, Judith Bütepage, Atsuto Maki, Danica Kragic, Mårten Björkman
A Sensorimotor Reinforcement Learning Framework for Physical Human-Robot Interaction. CoRR (2016)
Ali Ghadirzadeh, Judith Bütepage, Danica Kragic, Mårten Björkman
Self-learning and adaptation in a sensorimotor framework. ICRA (2016)
Ali Ghadirzadeh, Atsuto Maki, Mårten Björkman
A sensorimotor approach for self-learning of hand-eye coordination. IROS (2015)
Ali Ghadirzadeh, Gert Kootstra, Atsuto Maki, Mårten Björkman
Learning visual forward models to compensate for self-induced image motion. RO-MAN (2014)