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12/20/2022
Adapting the Exploration Rate for Value-of-Information-Based Reinforcement Learning
In this paper, we consider the problem of adjusting the exploration rate...
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09/24/2021
Estimating Rényi's α-Cross-Entropies in a Matrix-Based Way
Conventional information-theoretic quantities assume access to probabili...
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07/22/2021
External-Memory Networks for Low-Shot Learning of Targets in Forward-Looking-Sonar Imagery
We propose a memory-based framework for real-time, data-efficient target...
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07/05/2021
An Information-Theoretic Approach for Automatically Determining the Number of States when Aggregating Markov Chains
A fundamental problem when aggregating Markov chains is the specificatio...
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02/24/2021
Annotating Motion Primitives for Simplifying Action Search in Reinforcement Learning
Reinforcement learning in large-scale environments is challenging due to...
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01/18/2021
Faster Convergence in Deep-Predictive-Coding Networks to Learn Deeper Representations
Deep-predictive-coding networks (DPCNs) are hierarchical, generative mod...
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01/10/2021
Target Detection and Segmentation in Circular-Scan Synthetic-Aperture-Sonar Images using Semi-Supervised Convolutional Encoder-Decoders
We propose a saliency-based, multi-target detection and segmentation fra...
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03/21/2019
Reduction of Markov Chains using a Value-of-Information-Based Approach
In this paper, we propose an approach to obtain reduced-order models of ...
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01/22/2019
An Exact Reformulation of Feature-Vector-based Radial-Basis-Function Networks for Graph-based Observations
Radial-basis-function networks are traditionally defined for sets of vec...
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02/05/2018
Guided Policy Exploration for Markov Decision Processes using an Uncertainty-Based Value-of-Information Criterion
Reinforcement learning in environments with many action-state pairs is c...
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10/28/2017
Partitioning Relational Matrices of Similarities or Dissimilarities using the Value of Information
In this paper, we provide an approach to clustering relational matrices ...
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10/08/2017
Using the Value of Information to Explore Stochastic, Discrete Multi-Armed Bandits
In this paper, we propose an information-theoretic exploration strategy ...
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02/28/2017
