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Emotional appraisal in deep reinforcement learning
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Transfer reinforcement learning for autonomous collision avoidance
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Exploring complexity reduction in deep learning
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Leveraging training information for efficient and robust deep learning
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Reinforcement learning with generative model for non-parametric MDPs
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Learning, adaptation and control to enhance wireless network performance
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Rethinking perception-action loops via interactive perception and learned representations
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Algorithms and systems for continual robot learning
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Machine learning in interacting multi-agent systems
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Deep generative models for image translation
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Improving efficiency to advance resilient computing
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Machine learning for efficient network management
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Learning invariant features in modulatory neural networks through conflict and ambiguity
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The role of the fieldbook: a pedagogical tool for intercultural learning
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Learning and decision making in networked systems
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Locomotor skill learning in virtual reality in healthy adults and people with Parkinson disease
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Theory and applications of adversarial and structured knowledge learning
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A professional development program evaluation: teacher efficacy, learning, and transfer
Service-learning and character development: an analysis of Up with People resulting in a model of global citizens for servant leadership
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An investigation of the way instructors’ approaches to the curriculum shape undergraduate students’ opportunities to engage in higher levels of thinking in the United States
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Impact of inquiry‐based learning professional development on implementation of Common Core State Standards
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Learning in dynamic synapse neural networks
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Landscape analysis and algorithms for large scale non-convex optimization
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The Effect Of Conditions Of Risk, Internal Versus External Control Of Reinforcement, And Sex On Binary Choice Probability Learning
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Renewing the people of the book: theory and practice for building Jewish interpretive learning communities
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