A Survey on Reinforcement Learning Methods in Character Animation

Author:

Kwiatkowski Ariel1,Alvarado Eduardo1,Kalogeiton Vicky1,Liu C. Karen2,Pettré Julien3,van de Panne Michiel4,Cani Marie‐Paule1

Affiliation:

1. LIX, École Polytechnique/CNRS Institut Polytechnique de Paris Palaiseau France

2. Stanford University Stanford CA USA

3. Univ Rennes, Inria, CNRS, IRISA Rennes France

4. University of British Columbia Vancouver Canada

Publisher

Wiley

Subject

Computer Graphics and Computer-Aided Design

Reference171 articles.

1. AchiamJ.:Spinning up in deep reinforcement learning. 4

2. Interactive motion generation from examples

3. AlexanderS. A.:The archimedean trap: Why traditional reinforcement learning will probably not yield AGI. 70–85. 6

4. AbdolhosseiniF. LingH. Y. XieZ. PengX. B. van dePanneM.: On learning symmetric locomotion. InMotion Interaction and Games(2019) MIG ‘19 Association for Computing Machinery. event‐place: Newcastle upon Tyne United Kingdom. 16 19

5. AmitR. MeirR. CiosekK.: Discount factor as a regularizer in reinforcement learning. InInternational Conference on Machine Learning(2020) PMLR pp.269–278. ISSN: 2640‐3498. 6

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