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12/18/2022
Risk-Sensitive Reinforcement Learning with Exponential Criteria
While risk-neutral reinforcement learning has shown experimental success...
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12/15/2022
Multi-Resolution Online Deterministic Annealing: A Hierarchical and Progressive Learning Architecture
Hierarchical learning algorithms that gradually approximate a solution t...
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09/06/2022
Annealing Optimization for Progressive Learning with Stochastic Approximation
In this work, we introduce a learning model designed to meet the needs o...
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12/05/2021
Learning Swarm Interaction Dynamics from Density Evolution
We consider the problem of understanding the coordinated movements of bi...
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12/04/2021
Towards the One Learning Algorithm Hypothesis: A System-theoretic Approach
The existence of a universal learning architecture in human cognition is...
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02/11/2021