Isaac J. Sledge

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 26

Top Topics

Reinforcement Learning

Markov Decision Process

Expected Reward

Depth Estimation

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Isaac J. Sledge, Dominic M. Byrne, Jonathan L. King, Steven H. Ostertag, Denton L. Woods, James L. Prater, Jermaine L. Kennedy, Timothy M. Marston, José C. Príncipe
Weakly-Supervised Semantic Segmentation of Circular-Scan, Synthetic-Aperture-Sonar Imagery. CoRR (2024)
Isaac J. Sledge, José C. Príncipe
Faster Convergence in Deep-Predictive-Coding Networks to Learn Deeper Representations. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Isaac J. Sledge, Darshan W. Bryner, José C. Príncipe
Annotating Motion Primitives for Simplifying Action Search in Reinforcement Learning. IEEE Trans. Emerg. Top. Comput. Intell. 6 (5) (2022)
Isaac J. Sledge, José C. Príncipe
Adapting the Exploration Rate for Value-of-Information-Based Reinforcement Learning. CoRR (2022)
Isaac J. Sledge, José C. Príncipe
An Information-Theoretic Approach for Automatically Determining the Number of States when Aggregating Markov Chains. CoRR (2021)
Isaac J. Sledge, José C. Príncipe
Faster Convergence in Deep-Predictive-Coding Networks to Learn Deeper Representations. CoRR (2021)
Isaac J. Sledge, Darshan W. Bryner, José C. Príncipe
Annotating Motion Primitives for Simplifying Action Search in Reinforcement Learning. CoRR (2021)
Isaac J. Sledge, Christopher D. Toole, Joseph A. Maestri, José C. Príncipe
External-Memory Networks for Low-Shot Learning of Targets in Forward-Looking-Sonar Imagery. CoRR (2021)
Isaac J. Sledge, José C. Príncipe
Estimating Rényi's α-Cross-Entropies in a Matrix-Based Way. CoRR (2021)
Isaac J. Sledge, Matthew S. Emigh, Jonathan L. King, Denton L. Woods, J. Tory Cobb, José C. Príncipe
Target Detection and Segmentation in Circular-Scan Synthetic-Aperture-Sonar Images using Semi-Supervised Convolutional Encoder-Decoders. CoRR (2021)
Isaac J. Sledge, José C. Príncipe
An Exact Reformulation of Feature-Vector-Based Radial-Basis-Function Networks for Graph-Based Observations. IEEE Trans. Neural Networks Learn. Syst. 31 (11) (2020)
Isaac J. Sledge, José C. Príncipe
Regularized Training of Convolutional Autoencoders using the Rényi-Stratonovich Value of Information. IJCNN (2020)
Isaac J. Sledge, José C. Príncipe
An Information-theoretic Approach for Automatically Determining the Number of State Groups When Aggregating Markov Chains. ICASSP (2019)
Isaac J. Sledge, José C. Príncipe
Reduction of Markov Chains Using a Value-of-Information-Based Approach. Entropy 21 (4) (2019)
Isaac J. Sledge, José C. Príncipe
An Exact Reformulation of Feature-Vector-based Radial-Basis-Function Networks for Graph-based Observations. CoRR (2019)
Isaac J. Sledge, José C. Príncipe
A Differential-geometric Approach for Globally Solving a Non-convex, Discontinuous Depth Estimation Problem for Plenoptic Camera Images. ICASSP (2019)
Isaac J. Sledge, José C. Príncipe
Reduction of Markov Chains using a Value-of-Information-Based Approach. CoRR (2019)
Isaac J. Sledge, José C. Príncipe
Partitioning Relational Matrices of Similarities or Dissimilarities Using the Value of Information. ICASSP (2018)
Isaac J. Sledge, José C. Príncipe
Kernelized Q-Learning for Large-Scale, Potentially Continuous, Markov Decision Processes. IJCNN (2018)
Isaac J. Sledge, José C. Príncipe
An Analysis of the Value of Information When Exploring Stochastic, Discrete Multi-Armed Bandits. Entropy 20 (3) (2018)
Isaac J. Sledge, Matthew S. Emigh, José C. Príncipe
Guided Policy Exploration for Markov Decision Processes Using an Uncertainty-Based Value-of-Information Criterion. IEEE Trans. Neural Networks Learn. Syst. 29 (6) (2018)
Isaac J. Sledge, Matthew S. Emigh, José C. Príncipe
Guided Policy Exploration for Markov Decision Processes using an Uncertainty-Based Value-of-Information Criterion. CoRR (2018)
Isaac J. Sledge, José C. Príncipe
Balancing exploration and exploitation in reinforcement learning using a value of information criterion. ICASSP (2017)
Isaac J. Sledge, José C. Príncipe
Analysis of Agent Expertise in Ms. Pac-Man using Value-of-Information-based Policies. CoRR (2017)
Isaac J. Sledge, José C. Príncipe
Using the Value of Information to Explore Stochastic, Discrete Multi-Armed Bandits. CoRR (2017)
Isaac J. Sledge, José C. Príncipe
Partitioning Relational Matrices of Similarities or Dissimilarities using the Value of Information. CoRR (2017)
Isaac J. Sledge, Liqian Peng, Kamran Mohseni
An Empirical Reduced Modeling Approach for Mobile, Distributed Sensor Platform Networks. DyDESS (2014)
Isaac J. Sledge, James M. Keller, Wenbo Song, Curt H. Davis
Conflation of Vector Buildings With Imagery. IEEE Geosci. Remote. Sens. Lett. 8 (1) (2011)
Isaac J. Sledge
A projection transform for non-Euclidean relational clustering. IJCNN (2010)
Isaac J. Sledge, James C. Bezdek, Timothy C. Havens, James M. Keller
Relational Generalizations of Cluster Validity Indices. IEEE Trans. Fuzzy Syst. 18 (4) (2010)
Isaac J. Sledge, James C. Bezdek, Timothy C. Havens, James M. Keller
A relational dual of the fuzzy possibilistic c-means algorithm. FUZZ-IEEE (2010)
Isaac J. Sledge, Timothy C. Havens, James C. Bezdek, James M. Keller
Relational Duals of Cluster-Validity Functions for the c -Means Family. IEEE Trans. Fuzzy Syst. 18 (6) (2010)
Isaac J. Sledge, James M. Keller
Mapping natural language to imagery: Placing objects intelligently. FUZZ-IEEE (2009)
Isaac J. Sledge, Timothy C. Havens, Jacalyn M. Huband, James C. Bezdek, James M. Keller
Finding the number of clusters in ordered dissimilarities. Soft Comput. 13 (12) (2009)
Isaac J. Sledge, James M. Keller, Timothy C. Havens, Gregory L. Alexander, Marge Skubic
Temporal Activity Analysis. AAAI Fall Symposium: AI in Eldercare: New Solutions to Old Problems (2008)
Isaac J. Sledge, Jacalyn M. Huband, James C. Bezdek
(Automatic) Cluster Count Extraction from Unlabeled Data Sets. FSKD (1) (2008)
Isaac J. Sledge, James M. Keller
Growing neural gas for temporal clustering. ICPR (2008)