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.HC2018★ 3 cited
Learning Shaping Strategies in Human-in-the-loop Interactive Reinforcement Learning
Chao Yu, Tianpei Yang, Wenxuan Zhu +2
Providing reinforcement learning agents with informationally rich human knowledge can dramatically improve various aspects of learning. Prior work has developed different kinds of…