Reinforcement Learning for Adaptive Theory of Mind in the Sigma
Reinforcement Learning for Adaptive Theory of Mind ... cognitive system—an integrated computational model of intelligent behavior—that is grounded in a ...
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Model-based reinforcement learning as cognitive search - Princeton
Theories from reinforcement learning (RL; Sutton and Barto 1998) – the branch ... Indeed, these computational characterizations are so precise that they have been .... closely related representations, it is useful to keep in mind the operational.
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Reinforcement learning in the brain - Princeton University
computational field of reinforcement learning (Sutton & Barto, 1998) has provided a normative ... In this review we will focus on these links between the theory ...... Keeping these caveats in mind, we now turn to the specific use of RL models in.
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Decision theory, reinforcement learning, and the brain - Gatsby
reinforcement learning (Sutton & Barto, 1998). Figure 1B ... permeate experiments and computational models in ethology, psychology, and neuroscience. Here ...
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Computational psychiatry - Gatsby Computational Neuroscience Unit
Reinforcement learning (RL) is a field, partly spawned by mathema- tical psychology ..... higher probability for a theory-of-mind model (versus fixed- strategy) for ...
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Computational Versus Associative Models of Simple Conditioningi
of reinforcement nor the ratio of reinforced to unreinforced CS presentations appear to ... learning for more than a century. Computational theories of mind-- also.
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The Neuroscience of Learning: Beyond the Hebbian Synapse
Jul 12, 2012 ... perspective, in which learning is mediated by computations that make implicit ... We briefly review the neuroscience of reinforcement learning, emphasizing the ..... computational theory of mind, which holds that a necessary.
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First Steps Toward a Computational Theory of Autism
A computational model with three inter- ... porating systems for reinforcement learning, context .... without postulating a specific 'theory of mind' mod- ule.
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Modeling Human Plan Recognition using Bayesian Theory of Mind
recognition capacity is a theory of mind (ToM): our intuitive conception of other agents' .... human ToM via cognitively-inspired computational modeling. ...... function to explain its behavior in terms of “inverse reinforcement learning” (IRL; see ...
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Richard S. Sutton - Department of Computing Science - University of
Thesis: “Temporal credit assignment in reinforcement learning. ..... “ Reinforcement Learning's Computational Theory of Mind,” invited plenary talk, Workshop.
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Reinforcement learning and higher level cognition - Michael J. Frank
Reinforcement learning (RL), originally an area of com- puter science concerned with .... computational theories of higher level ideas that had pre- viously been treated more ... tion of the notoriously subtle concept of theory of mind, in terms of ...
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A New Age of Computing and the Brain - Computing Research
Dec 3, 2014 ... The surprising success of new models for machine learning inspired by neural architectures is reigniting directions of inquiry on biomimetic ... discussions: (1) brain mapping, (2) connecting brain, mind .... by behavior and/or computational theories, and .... reinforcement learning), the extraction of a formal.
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Building machines that learn and think - arXiv.org
Mar 15, 2016 ... deep learning and reinforcement learning to make a “deep reinforcement .... They may be endowed with intuitive physics, theory of mind, causal reasoning, ... better than machines at solving a range of difficult computational ...
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Cognitive Control Predicts Use of Model-based Reinforcement
the cognitive or computational processes by which one system may dominate over ... model-free reinforcement learning (RL), which learns which actions tend to ...
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A neural model of hierarchical reinforcement learning
Keywords: neural model; reinforcement learning; hierarchical reinforcement ... teraction between computational theories and neuroscientific understanding.
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Mantague et. al. 2004
Oct 14, 2004 ... biological musings to real computational models of how the ... Reinforcement learning theories seek to explain how organ- ... of Pittsburgh and 5Department of Psychology, Center for the Study of Brain, Mind & Behavior,.
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Computational [Principles of] Psychology - Kybele - Cornell University
Jan 26, 2016 ... The recommended textbook is Computing the Mind: How the Mind Really Works ... Extending dynamical systems theory to model embodied cognition. Cog- .... Rational and mechanistic perspectives on reinforcement learning.
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1 - Cambridge Machine Learning Group
Reinforcement learning. – Temporal ... The goal: A general-purpose computational ... Decision making and theory of mind [Lee, Stankiewicz, Rao, Baker,.
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Computational Psychiatry: towards a mathematically informed
Jul 8, 2015 ... reinforcement learning and incentive salience models may shed light on the .... Computational theories of mind often mirror contemporaneous.
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Reinforcement learning: Computational theory and biological
May 8, 2007 ... Reinforcement learning is a computational framework for an active agent to learn behaviors on ... The theory of reinforcement learning, which was developed in an artificial ...... Society of Mind, Simon and Schuster, New York.
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