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Data-efficient visuomotor policy training using reinforcement learning and generative models

Jul 26, 2020
Ali Ghadirzadeh, Petra Poklukar, Ville Kyrki, Danica Kragic, Mårten Björkman


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Human-centered collaborative robots with deep reinforcement learning

Jul 02, 2020
Ali Ghadirzadeh, Xi Chen, Wenjie Yin, Zhengrong Yi, Mårten Björkman, Danica Kragic


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Hyperplane Arrangements of Trained ConvNets Are Biased

Mar 17, 2020
Matteo Gamba, Stefan Carlsson, Hossein Azizpour, Mårten Björkman


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Imitating by generating: deep generative models for imitation of interactive tasks

Oct 14, 2019
Judith Bütepage, Ali Ghadirzadeh, Özge Öztimur Karadag, Mårten Björkman, Danica Kragic


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Adversarial Feature Training for Generalizable Robotic Visuomotor Control

Sep 17, 2019
Xi Chen, Ali Ghadirzadeh, Mårten Björkman, Patric Jensfelt


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Exploring Temporal Dependencies in Multimodal Referring Expressions with Mixed Reality

Feb 04, 2019
Elena Sibirtseva, Ali Ghadirzadeh, Iolanda Leite, Mårten Björkman, Danica Kragic


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Meta-Learning for Multi-objective Reinforcement Learning

Nov 08, 2018
Xi Chen, Ali Ghadirzadeh, Mårten Björkman, Patric Jensfelt


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Deep Predictive Policy Training using Reinforcement Learning

Mar 02, 2017
Ali Ghadirzadeh, Atsuto Maki, Danica Kragic, Mårten Björkman

* This work is submitted to IEEE/RSJ International Conference on Intelligent Robots and Systems 2017 (IROS2017) 

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A Sensorimotor Reinforcement Learning Framework for Physical Human-Robot Interaction

Jul 27, 2016
Ali Ghadirzadeh, Judith Bütepage, Atsuto Maki, Danica Kragic, Mårten Björkman

* The paper is accepted for publication at the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016) 

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Feature Descriptors for Tracking by Detection: a Benchmark

Jul 21, 2016
Alessandro Pieropan, Mårten Björkman, Niklas Bergström, Danica Kragic


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Self-learning and adaptation in a sensorimotor framework

Jan 05, 2016
Ali Ghadirzadeh, Judith Bütepage, Danica Kragic, Mårten Björkman


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