4 citations · 6 across the 5 of their papers we have counts for
Showing cs.AIShow all
3 papers · 1 filter
cs.AI2021
Faster Convergence in Deep-Predictive-Coding Networks to Learn Deeper Representations
Isaac J. Sledge, Jose C. Principe
Deep-predictive-coding networks (DPCNs) are hierarchical, generative models. They rely on feed-forward and feed-back connections to modulate latent feature representations of stimu…
cs.AI2018
Guided Policy Exploration for Markov Decision Processes using an Uncertainty-Based Value-of-Information Criterion
Isaac J. Sledge, Matthew S. Emigh, Jose C. Principe
Reinforcement learning in environments with many action-state pairs is challenging. At issue is the number of episodes needed to thoroughly search the policy space. Most convention…
cs.AI2017
Partitioning Relational Matrices of Similarities or Dissimilarities using the Value of Information
Isaac J. Sledge, Jose C. Principe
In this paper, we provide an approach to clustering relational matrices whose entries correspond to either similarities or dissimilarities between objects. Our approach is based on…