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Long-Tailed Class Incremental Learning


Oct 01, 2022
Xialei Liu, Yu-Song Hu, Xu-Sheng Cao, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng

* Accepted at ECCV 2022 

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Towards Informed Design and Validation Assistance in Computer Games Using Imitation Learning


Aug 19, 2022
Alessandro Sestini, Joakim Bergdahl, Konrad Tollmar, Andrew D. Bagdanov, Linus Gisslén

* 10 pages, 8 figures, and 3 tables 

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CCPT: Automatic Gameplay Testing and Validation with Curiosity-Conditioned Proximal Trajectories


Feb 21, 2022
Alessandro Sestini, Linus Gisslén, Joakim Bergdahl, Konrad Tollmar, Andrew D. Bagdanov


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Continually Learning Self-Supervised Representations with Projected Functional Regularization


Dec 30, 2021
Alex Gomez-Villa, Bartlomiej Twardowski, Lu Yu, Andrew D. Bagdanov, Joost van de Weijer


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Policy Fusion for Adaptive and Customizable Reinforcement Learning Agents


Apr 21, 2021
Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov


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Robust pedestrian detection in thermal imagery using synthesized images


Feb 03, 2021
My Kieu, Lorenzo Berlincioni, Leonardo Galteri, Marco Bertini, Andrew D. Bagdanov, Alberto Del Bimbo

* Accepted at ICPR2020 

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Deep Policy Networks for NPC Behaviors that Adapt to Changing Design Parameters in Roguelike Games


Dec 07, 2020
Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov

* Presented at the AAAI-21 Workshop on Reinforcement Learning in Games 

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Demonstration-efficient Inverse Reinforcement Learning in Procedurally Generated Environments


Dec 04, 2020
Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov

* Presented at the AAAI-21 Workshop on Reinforcement Learning in Games 

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DeepCrawl: Deep Reinforcement Learning for Turn-based Strategy Games


Dec 03, 2020
Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov

* Presented at AIIDE-19 Workshop on Experimental Artificial Intelligence in Games 

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