Learning to Brachiate via Simplified Model Imitation

Author:

Reda Daniele1,Ling Hung Yu1,van de Panne Michiel1

Affiliation:

1. University of British Columbia, Canada

Funder

NSERC

Publisher

ACM

Reference42 articles.

1. DReCon

2. Glen Berseth . 2019. Scalable deep reinforcement learning for physics-based motion control. Ph. D. Dissertation . University of British Columbia . https://doi.org/10.14288/1.0378079 Glen Berseth. 2019. Scalable deep reinforcement learning for physics-based motion control. Ph. D. Dissertation. University of British Columbia. https://doi.org/10.14288/1.0378079

3. A point-mass model of gibbon locomotion

4. Physics-based motion capture imitation with deep reinforcement learning

5. Stelian Coros , Philippe Beaudoin , Kang Kang Yin , and Michiel van de Panne . 2008. Synthesis of Constrained Walking Skills . In ACM SIGGRAPH Asia 2008 Papers (Singapore) (SIGGRAPH Asia ’08) . Association for Computing Machinery , New York, NY, USA , Article 113, 9 pages. https://doi.org/10.1145/1457515.1409066 Stelian Coros, Philippe Beaudoin, Kang Kang Yin, and Michiel van de Panne. 2008. Synthesis of Constrained Walking Skills. In ACM SIGGRAPH Asia 2008 Papers (Singapore) (SIGGRAPH Asia ’08). Association for Computing Machinery, New York, NY, USA, Article 113, 9 pages. https://doi.org/10.1145/1457515.1409066

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