Learning visual forward models to compensate for self-induced image motion. - Ali Ghadirzadeh; Gert Kootstra; Atsuto Maki; Mårten Björkman (RO-MAN, 2014)

A sensorimotor approach for self-learning of hand-eye coordination. - Ali Ghadirzadeh; Atsuto Maki; Mårten Björkman (IROS, 2015)

Self-learning and adaptation in a sensorimotor framework. - Ali Ghadirzadeh; Judith Bütepage; Danica Kragic; Mårten Björkman (ICRA, 2016)

A sensorimotor reinforcement learning framework for physical Human-Robot Interaction. - Ali Ghadirzadeh; Judith Bütepage; Atsuto Maki; Danica Kragic; Mårten Björkman (IROS, 2016)

Deep predictive policy training using reinforcement learning. - Ali Ghadirzadeh; Atsuto Maki; Danica Kragic; Mårten Björkman (IROS, 2017)

Deep Reinforcement Learning to Acquire Navigation Skills for Wheel-Legged Robots in Complex Environments. - Xi Chen 051; Ali Ghadirzadeh; John Folkesson; Mårten Björkman; Patric Jensfelt (IROS, 2018)

Deep Reinforcement Learning to Acquire Navigation Skills for Wheel-Legged Robots in Complex Environments. - Xi Chen 051; Ali Ghadirzadeh; John Folkesson; Patric Jensfelt (CoRR, 2018)

Sensorimotor Robot Policy Training using Reinforcement Learning. - Ali Ghadirzadeh (2018)

Exploring Temporal Dependencies in Multimodal Referring Expressions with Mixed Reality. - Elena Sibirtseva; Ali Ghadirzadeh; Iolanda Leite; Mårten Björkman; Danica Kragic (HCI (10), 2019)

Meta-Learning for Multi-objective Reinforcement Learning. - Xi Chen 051; Ali Ghadirzadeh; Mårten Björkman; Patric Jensfelt (IROS, 2019)

Affordance Learning for End-to-End Visuomotor Robot Control. - Aleksi Hämäläinen; Karol Arndt; Ali Ghadirzadeh; Ville Kyrki (IROS, 2019)

Meta Reinforcement Learning for Sim-to-real Domain Adaptation. - Karol Arndt; Murtaza Hazara; Ali Ghadirzadeh; Ville Kyrki (ICRA, 2020)

Adversarial Feature Training for Generalizable Robotic Visuomotor Control. - Xi Chen 051; Ali Ghadirzadeh; Mårten Björkman; Patric Jensfelt (ICRA, 2020)

Data-efficient visuomotor policy training using reinforcement learning and generative models. - Ali Ghadirzadeh; Petra Poklukar; Ville Kyrki; Danica Kragic; Mårten Björkman (CoRR, 2020)

Imitating by Generating: Deep Generative Models for Imitation of Interactive Tasks. - Judith Bütepage; Ali Ghadirzadeh; Özge Öztimur Karadag; Mårten Björkman; Danica Kragic (Frontiers Robotics AI, 2020)

Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms. - Ali Ghadirzadeh; Xi Chen 051; Petra Poklukar; Chelsea Finn; Mårten Björkman; Danica Kragic (IROS, 2021)

Coordinating With a Robot Partner Affects Neural Processing Related to Action Monitoring. - Artur Czeszumski; Anna L. Gert; Ashima Keshava; Ali Ghadirzadeh; Tilman Kalthoff; Benedikt V. Ehinger; Max Tiessen; Mårten Björkman; Danica Kragic; Peter König (Frontiers Neurorobotics, 2021)

Few-Shot Model-Based Adaptation in Noisy Conditions. - Karol Arndt; Ali Ghadirzadeh; Murtaza Hazara; Ville Kyrki (IEEE Robotics Autom. Lett., 2021)

Human-Centered Collaborative Robots With Deep Reinforcement Learning. - Ali Ghadirzadeh; Xi Chen 051; Wenjie Yin; Zhengrong Yi; Mårten Björkman; Danica Kragic (IEEE Robotics Autom. Lett., 2021)

Improving EEG-based Motor Execution Classification for Robot Control. - Sumeyra Demir Kanik; Wenjie Yin; Arzu Guneysu Ozgur; Ali Ghadirzadeh; Mårten Björkman; Danica Kragic (HCI (14), 2022)

Back to the Manifold: Recovering from Out-of-Distribution States. - Alfredo Reichlin; Giovanni Luca Marchetti; Hang Yin 001; Ali Ghadirzadeh; Danica Kragic (IROS, 2022)

LAPO: Latent-Variable Advantage-Weighted Policy Optimization for Offline Reinforcement Learning. - Xi Chen; Ali Ghadirzadeh; Tianhe Yu; Jianhao Wang; Alex Yuan Gao; Wenzhe Li; Liang Bin; Chelsea Finn; Chongjie Zhang (NeurIPS, 2022)

Latent-Variable Advantage-Weighted Policy Optimization for Offline RL. - Xi Chen 051; Ali Ghadirzadeh; Tianhe Yu; Yuan Gao 024; Jianhao Wang; Wenzhe Li; Bin Liang 001; Chelsea Finn; Chongjie Zhang (CoRR, 2022)

Training and Evaluation of Deep Policies Using Reinforcement Learning and Generative Models. - Ali Ghadirzadeh; Petra Poklukar; Karol Arndt; Chelsea Finn; Ville Kyrki; Danica Kragic; Mårten Björkman (J. Mach. Learn. Res., 2022)

Co-adaptive Human-Robot Cooperation: Summary and Challenges. - Sofie Ahlberg; Agnes Axelsson; Pian Yu; Wenceslao Shaw-Cortez; Alex Yuan Gao; Ali Ghadirzadeh; Ginevra Castellano; Danica Kragic; Gabriel Skantze; Dimos V. Dimarogonas (Unmanned Syst., 2022)

Mental Face Image Retrieval Based on a Closed-Loop Brain-Computer Interface. - Nona Rajabi; Charles Chernik; Alfredo Reichlin; Farzaneh Taleb; Miguel Vasco; Ali Ghadirzadeh; Mårten Björkman; Danica Kragic (HCI (9), 2023)

PG-3DVTON: Pose-Guided 3D Virtual Try-on Network. - Sanaz Sabzevari; Ali Ghadirzadeh; Mårten Björkman; Danica Kragic (VISIGRAPP (4: VISAPP), 2023)