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05/05/2023
Bayesian Reinforcement Learning with Limited Cognitive Load
All biological and artificial agents must learn and make decisions given...
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11/07/2022
Humans decompose tasks by trading off utility and computational cost
Human behavior emerges from planning over elaborate decompositions of ta...
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10/30/2022
On Rate-Distortion Theory in Capacity-Limited Cognition Reinforcement Learning
Throughout the cognitive-science literature, there is widespread agreeme...
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06/16/2022
How to talk so your robot will learn: Instructions, descriptions, and pragmatics
From the earliest years of our lives, humans use language to express our...
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04/11/2022
Linguistic communication as (inverse) reward design
Natural language is an intuitive and expressive way to communicate rewar...
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11/01/2021
On the Expressivity of Markov Reward
Reward is the driving force for reinforcement-learning agents. This pape...
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09/01/2021
Cognitive science as a source of forward and inverse models of human decisions for robotics and control
Those designing autonomous systems that interact with humans will invari...
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05/25/2021
Extending rational models of communication from beliefs to actions
Speakers communicate to influence their partner's beliefs and shape thei...
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05/14/2021
Control of mental representations in human planning
One of the most striking features of human cognition is the capacity to ...
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12/16/2020
Show or Tell? Demonstration is More Robust to Changes in Shared Perception than Explanation
Successful teaching entails a complex interaction between a teacher and ...
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09/30/2020
Learning Rewards from Linguistic Feedback
We explore unconstrained natural language feedback as a learning signal ...
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09/05/2020
Using Machine Teaching to Investigate Human Assumptions when Teaching Reinforcement Learners
Successful teaching requires an assumption of how the learner learns - h...
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07/27/2020
Resource-rational Task Decomposition to Minimize Planning Costs
People often plan hierarchically. That is, rather than planning over a m...
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02/13/2020
The Efficiency of Human Cognition Reflects Planned Information Processing
Planning is useful. It lets people take actions that have desirable long...
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10/13/2019
On the Utility of Learning about Humans for Human-AI Coordination
While we would like agents that can coordinate with humans, current algo...
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06/03/2019
The Computational Structure of Unintentional Meaning
Speech-acts can have literal meaning as well as pragmatic meaning, but t...
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01/21/2017
