**Tzu-Yun Ariel Shann**
![](images/ariel.jpg width="256")
Education
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2018/09- 2022/04
: *MSc in Computer Science* at *University of British Columbia*
:
_Vancouver BC, Canada_
: - *Supervisor*: Leonid Sigal, Michiel van de Panne
: - *MSc Thesis*: [Reinforcement Learning in the Presence of Sensing Costs](https://open.library.ubc.ca/soa/cIRcle/collections/ubctheses/24/items/1.0413129)
2014/09-2017/06
: *BSc in Computer Science* at *National Tsing Hua University*
:
_Hsinchu, Taiwan_
Experience
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2022/10-Present
: *AI Engineer* at *Onoma AI*
:
_Seoul, South Korea_
2020/5-2020/11
: *Research Intern* at *Borealis AI*
:
_Toronro ON, Canada_
: - *Supervisor*: Ruitong Huang, Pablo Hernandez Leal
: - *Research topic*: exploration strategies for reinforcement learning
2017/1-2018/8
: *Research Assistant* at *National Tsing Hua University*
:
_Hsinchu, Taiwan_
: - *Supervisor*: [Chun-Yi Lee](http://cymaxwelllee.wixsite.com/elsa)
: - *Research topic*: reinforcement learning, multi-agent reinforcement learning
2016/7-2016/9
: *Software Engineer Intern* at *MediaTek*
:
_Hsinchu, Taiwan_
Publications
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+ *Adversarial Exploration Strategy for Self-Supervised Imitation Learning*
Zhang-Wei Hong, Tsu-Jui Fu, *Tzu-Yun Shann*, Yi-Hsiang Chang, Chun-Yi Lee.
In Proceedings of the _Conference of Robot Learning (*CoRL*)_, Oct. 2019 (_Oral presentation_)
Paper
+ *Diversity-Driven Exploration Strategy for Deep Reinforcement Learning*
Zhang-Wei Hong, *Tzu-Yun Shann*, Shih-Yang Su, Yi-Hsiang Chang, Tsu-Jui Fu, Chun-Yi Lee.
In Advances in _Neural Information Processing Systems (*NeurIPS*)_, Dec. 2018.
(A [shorter version](https://openreview.net/pdf?id=BJsD7L1vz) of this paper has been accepted in ICLR 2018 Workshop)
Paper
+ *A Deep Policy Inference Q-Network for Multi-Agent Systems*
*Tzu-Yun Shann*♮, Shih-Yang Su♮, Zhang-Wei Hong♮, Yi-Hsiang Chang, Chun-Yi Lee.
In Proceedings of the _International Conference on Autonomous Agents and Multi-Agent Systems (*AAMAS*)_, Jul. 2018.
(♮ indicates equal contribution)
Paper Code
+ *Virtual-to-Real: Learning to Control in Visual Semantic Segmentation*
Zhang-Wei Hong, Yu-Min Chen, Shih-Yang Su, *Tzu-Yun Shann*, Yi-Hsiang Chang, Hsuan-Kung Yang, Brian Hsi-Lin Ho, Chih-Chieh Tu, Yueh-Chuan Chang, Tsu-Ching Hsiao, Hsin-Wei Hsiao, Sih-Pin Lai, Chun-Yi Lee.
In Proceedings of the _International Joint Conference on Artificial Intelligence (*IJCAI*)_, Jul. 2018.
Paper Video
Teaching
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Winter I, 2018
: Teaching assistant for [CPSC425 Computer Vision](https://www.cs.ubc.ca/~lsigal/teaching18_Term1.html)
Winter II, 2018
: Teaching assistant for [CPSC425 Computer Vision](https://www.cs.ubc.ca/~lsigal/teaching18_Term2.html)
Winter I, 2019
: Teaching assistant for CPSC322 Introduction to Artificial Intelligence
Dec 2019
: Teaching assistant for [IVADO/MILA/DSI Deep Learning School](https://ivado.ca/en/trainings/schools/ivado-mila-deep-learning-school-5th-edition-2/)
Winter II, 2019
: Teaching assistant for [CPSC425 Computer Vision](https://www.cs.ubc.ca/~lsigal/teaching19_Term2.html)
Winter II, 2020
: Teaching assistant for CPSC425 Computer Vision
Winter Term I, 2021
: Teaching assistant for CPSC330 Applied Machine Learning
Service
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Reviewing
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- *NeurIPS* 2019, 2020
- *ICML* 2020
Volunteering
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- *NeurIPS* 2018
- *ICLR* 2020
- *ICML* 2020
!!! note: Misc
- I was born and raised in *Taiwan*, a beautiful island in the Pacific.
- *Traveling* is something I enjoy very much. I have been to Japan, Korea, Indonesia, USA, UK, Italy, Germany, the Netherlands, Belgium, Austria, Canada, Sweden and France.
- I consider myself a curious person who loves to explore new things and challenge myself.
- In terms of human languages;) I am fluent in Mandarin and English. I also know a bit of German, Spanish and Korean (still learning)