Isaac J. Sledge | DeepAI

AI Chat

Featured Co-authors

Jose C. Principe
57 publications
Matthew S. Emigh
3 publications
J. Tory Cobb
2 publications
Jonathan L. King
1 publication
Denton L. Woods
1 publication
Christopher D. Toole
1 publication
Joseph A. Maestri
1 publication
Darshan W. Bryner
1 publication

∙ 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...

0 Isaac J. Sledge, et al. ∙

∙ 09/24/2021

Estimating Rényi's α-Cross-Entropies in a Matrix-Based Way

Conventional information-theoretic quantities assume access to probabili...

0 Isaac J. Sledge, et al. ∙

∙ 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...

8 Isaac J. Sledge, et al. ∙

∙ 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...

0 Isaac J. Sledge, et al. ∙

∙ 02/24/2021

Annotating Motion Primitives for Simplifying Action Search in Reinforcement Learning

Reinforcement learning in large-scale environments is challenging due to...

6 Isaac J. Sledge, et al. ∙

∙ 01/18/2021

Faster Convergence in Deep-Predictive-Coding Networks to Learn Deeper Representations

Deep-predictive-coding networks (DPCNs) are hierarchical, generative mod...

21 Isaac J. Sledge, et al. ∙

∙ 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...

9 Isaac J. Sledge, et al. ∙

∙ 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 ...

0 Isaac J. Sledge, et al. ∙

∙ 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...

14 Isaac J. Sledge, et al. ∙

∙ 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...

0 Isaac J. Sledge, et al. ∙

∙ 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 ...

0 Isaac J. Sledge, et al. ∙

∙ 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 ...

0 Isaac J. Sledge, et al. ∙

∙ 02/28/2017

Analysis of Agent Expertise in Ms. Pac-Man using Value-of-Information-based Policies

Conventional reinforcement learning methods for Markov decision processe...

0 Isaac J. Sledge, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world