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Understanding the Evolution of Linear Regions in Deep Reinforcement Learning


Oct 24, 2022
Setareh Cohen, Nam Hee Kim, David Rolnick, Michiel van de Panne

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* NeurIPS 2022 camera ready 

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OPT-Mimic: Imitation of Optimized Trajectories for Dynamic Quadruped Behaviors


Oct 03, 2022
Yuni Fuchioka, Zhaoming Xie, Michiel van de Panne

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Learning to Brachiate via Simplified Model Imitation


May 08, 2022
Daniele Reda, Hung Yu Ling, Michiel van de Panne

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* 11 pages, 6 figures. Accepted at SIGGRAPH 2022. For videos, supplementary material and code, visit the following URL https://brachiation-rl.github.io/brachiation 

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Learning to Get Up


Apr 30, 2022
Tianxin Tao, Matthew Wilson, Ruiyu Gou, Michiel van de Panne

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Evaluating Vision Transformer Methods for Deep Reinforcement Learning from Pixels


Apr 11, 2022
Tianxin Tao, Daniele Reda, Michiel van de Panne

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Style-ERD: Responsive and Coherent Online Motion Style Transfer


Mar 29, 2022
Tianxin Tao, Xiaohang Zhan, Zhongquan Chen, Michiel van de Panne

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* CVPR 2022, project page: https://tianxintao.github.io/Online-Motion-Style-Transfer 

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A Survey on Reinforcement Learning Methods in Character Animation


Mar 07, 2022
Ariel Kwiatkowski, Eduardo Alvarado, Vicky Kalogeiton, C. Karen Liu, Julien Pettré, Michiel van de Panne, Marie-Paule Cani

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* 27 pages, 6 figures, Eurographics STAR, Computer Graphics Forum 

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Exploration with Multi-Sample Target Values for Distributional Reinforcement Learning


Feb 06, 2022
Michael Teng, Michiel van de Panne, Frank Wood

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* Submitted to ICML 2022 

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Discovering Diverse Athletic Jumping Strategies


May 02, 2021
Zhiqi Yin, Zeshi Yang, Michiel van de Panne, KangKang Yin

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* ACM Trans. Graph. 40, 4, Article 91 (August 2021), 17 pages (2021) 
* 17 pages; SIGGRAPH 2021 

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