6 citations · 11 across the 4 of their papers we have counts for
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cs.HC2020★ 1 cited
Facial Feedback for Reinforcement Learning: A Case Study and Offline Analysis Using the TAMER Framework
Guangliang Li, Hamdi Dibeklioğlu, Shimon Whiteson +1
Interactive reinforcement learning provides a way for agents to learn to solve tasks from evaluative feedback provided by a human user. Previous research showed that humans give co…
cs.AI2020★ 6 cited
Deep Interactive Reinforcement Learning for Path Following of Autonomous Underwater Vehicle
Qilei Zhang, Jinying Lin, Qixin Sha +2
Autonomous underwater vehicle (AUV) plays an increasingly important role in ocean exploration. Existing AUVs are usually not fully autonomous and generally limited to pre-planning…