MultiTaskOneArmerAgent inspired by Example Guided Deep Reinforcement learning Deepmimic This white reinforcement learned agent satisfy immitation of yellow referenceground truth motion)
- Immitation Objective
- Additional task objective Be able to choose below 7 Different Mode with your gui. ・4 Independently Trained Task +WaitMode+Manual Mode with keyboard input+dangerous(not trained enough) Mode.
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For more information, in addition to installation and usage instructions, see my website below.
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Performance & Concept https://qiita.com/tanakataiki/items/94c7778341a40438cc99
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Enviroment Setting https://qiita.com/tanakataiki/items/40f54b3851c2ed3e09ec
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Unity C# https://qiita.com/tanakataiki/items/fbb3a4782add01d73428
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Tensorflow Search https://qiita.com/tanakataiki/private/8655c76b68933905f3ea
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If you are a researcher interested in a discussion of this project let me know !
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If you have used a version of the ML-Agents toolkit prior to v0.5, we strongly recommend our guide on migrating from earlier versions.
Copyright March 2019 Taiki Tanaka MIT https://opensource.org/licenses/MIT
Also This Repo Includes Unity ML-Agent License Apache License 2.0
If you use MultiTask Armer Agent to conduct research, we ask that you cite this website as a reference.
If you use Unity or the ML-Agents Toolkit to conduct research, we ask that you cite the following paper as a reference:
Juliani, A., Berges, V., Vckay, E., Gao, Y., Henry, H., Mattar, M., Lange, D. (2018). Unity: A General Platform for Intelligent Agents. arXiv preprint arXiv:1809.02627. https://github.com/Unity-Technologies/ml-agents.
- Paper:https://xbpeng.github.io/projects/DeepMimic/2018_TOG_DeepMimic.pdf
- Blog : https://bair.berkeley.edu/blog/2018/04/10/virtual-stuntman/
- Code : https://github.com/xbpeng/DeepMimic
This reinforcement learning projet is under the support of SE4 inc
Thanks for Loki Savkin and Andri