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Back to the Manifold: Recovering from Out-of-Distribution States


Jul 18, 2022
Alfredo Reichlin, Giovanni Luca Marchetti, Hang Yin, Ali Ghadirzadeh, Danica Kragic


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Training and Evaluation of Deep Policies using Reinforcement Learning and Generative Models


Apr 18, 2022
Ali Ghadirzadeh, Petra Poklukar, Karol Arndt, Chelsea Finn, Ville Kyrki, Danica Kragic, Mårten Björkman

* arXiv admin note: substantial text overlap with arXiv:2007.13134 

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Latent-Variable Advantage-Weighted Policy Optimization for Offline RL


Mar 16, 2022
Xi Chen, Ali Ghadirzadeh, Tianhe Yu, Yuan Gao, Jianhao Wang, Wenzhe Li, Bin Liang, Chelsea Finn, Chongjie Zhang


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Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms


Mar 05, 2021
Ali Ghadirzadeh, Xi Chen, Petra Poklukar, Chelsea Finn, Mårten Björkman, Danica Kragic


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Few-shot model-based adaptation in noisy conditions


Oct 16, 2020
Karol Arndt, Ali Ghadirzadeh, Murtaza Hazara, Ville Kyrki


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


Oct 14, 2019
Judith B√ľtepage, Ali Ghadirzadeh, √Ėzge √Ėztimur Karadag, M√•rten Bj√∂rkman, 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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Meta Reinforcement Learning for Sim-to-real Domain Adaptation


Sep 16, 2019
Karol Arndt, Murtaza Hazara, Ali Ghadirzadeh, Ville Kyrki

* Submitted to ICRA 2020 

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