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·
AI Engineer
,
Onoma AI
2022–
·
Research Assistant
,
Princeton University Laboratory for Intelligent Probabilistic Systems
2017–2018
Publications
(6)
Diversity-Driven Exploration Strategy for Deep Reinforcement Learning
Neural Information Processing Systems · 2018
138
cited
A Deep Policy Inference Q-Network for Multi-Agent Systems
Adaptive Agents and Multi-Agent Systems · 2017
91
cited
Virtual-to-Real: Learning to Control in Visual Semantic Segmentation
International Joint Conference on Artificial Intelligence · 2018
84
cited
Adversarial Active Exploration for Inverse Dynamics Model Learning
Conference on Robot Learning · 2018
7
cited
Adversarial Exploration Strategy for Self-Supervised Imitation Learning
arXiv.org · 2018
2
cited
Reinforcement Learning in the Presence of Sensing Costs
2022
2
cited
Sotabase
Tzu-Yun (Ariel) Shann | Researcher Profile | Sotabase | Sotabase