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SpeakEasy Pronunciation Trainer: Personalized Multimodal Pronunciation Training ...
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SpeakEasy Pronunciation Trainer: Personalized Multimodal Pronunciation Training ...
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Using Machine Teaching to Investigate Human Assumptions when Teaching Reinforcement Learners ...
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Abstract:
Successful teaching requires an assumption of how the learner learns - how the learner uses experiences from the world to update their internal states. We investigate what expectations people have about a learner with a behavioral experiment: Hu- man teachers were asked to teach a sequential decision-making task to an artificial dog in an online manner using rewards and punishments. The artificial dogs were implemented with either an Action Signaling agent or a Q-learner with different dis- count factors. Our findings are threefold: First, we used ma- chine teaching to prove that the optimal teaching complexity across all the learners is the same, and thus the differences in human performance was solely due to the discrepancy between human teacher’s theory of mind and the actual student model. Second, we found that Q-learners with small discount factors were easier to teach than action signaling agents, challenging the established conclusion from prior work. Third, we showed that the efficiency of teaching ...
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Keyword:
Cognitive Linguistics; Cognitive Science; Computational Intelligence; Computational Linguistics; E-Learning; Semantics
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URL: https://underline.io/lecture/26952-using-machine-teaching-to-investigate-human-assumptions-when-teaching-reinforcement-learners https://dx.doi.org/10.48448/qaqq-kv32
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What is a 'mechanism'? A distinction between two sub-types of mechanistic explanations ...
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Judgement of political statements are influenced by speaker identity ...
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How do the semantic properties of visual explanations guide causal inference? ...
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Statistical properties of the speed-accuracy trade-off (SAT) paradigm in sentence processing ...
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Providing explanations shifts preschoolers’ metaphor preferences ...
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Statistical properties of the speed-accuracy trade-off (SAT) paradigm in sentence processing ...
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Hand constraint affects semantic processing of hand-manipulable objects: An fNIRS study ...
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Verb learning in young children: Are types of comparisons important? ...
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Hand constraint affects semantic processing of hand-manipulable objects: An fNIRS study ...
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Verb learning in young children: Are types of comparisons important? ...
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How do the semantic properties of visual explanations guide causal inference? ...
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What is a 'mechanism'? A distinction between two sub-types of mechanistic explanations ...
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A Computational Model of Comprehension in Manga Style Visual Narratives ...
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Recovering Quantitative Models of Human Information Processing with Differentiable Architecture Search ...
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