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Human versus Machine Attention in Deep Reinforcement Learning Tasks
Deep reinforcement learning (RL) algorithms are powerful tools for solvi...
10/29/2020 ∙ by Ruohan Zhang, et al. ∙
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Efficiently Guiding Imitation Learning Algorithms with Human Gaze
Human gaze is known to be an intention-revealing signal in human demonst...
02/28/2020 ∙ by Akanksha Saran, et al. ∙
11
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Leveraging Human Guidance for Deep Reinforcement Learning Tasks
Reinforcement learning agents can learn to solve sequential decision tas...
09/21/2019 ∙ by Ruohan Zhang, et al. ∙
24
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Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset
We introduce a large-scale dataset of human actions and eye movements wh...
03/15/2019 ∙ by Ruohan Zhang, et al. ∙
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An Initial Attempt of Combining Visual Selective Attention with Deep Reinforcement Learning
Visual attention serves as a means of feature selection mechanism in the...
11/11/2018 ∙ by Liu Yuezhang, et al. ∙
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AGIL: Learning Attention from Human for Visuomotor Tasks
When intelligent agents learn visuomotor behaviors from human demonstrat...
06/01/2018 ∙ by Ruohan Zhang, et al. ∙
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