MIL - The University of Tennessee
the university of tennessee machine intelligence lab
  
Ben Goodrich, Ph.D. student
  
Machine Intelligence Lab
630 Min H. Kao Building
The University of Tennessee
Knoxville, TN 37996-2100

  
Research Reinforcement Learning and Approximate Dynamic Programming 
  
  Visual Attention Mechanisms
  I'm interested in how visual attention can be framed as a learning problem, whereby an agent acquires the skills needed to scan large visual fields effectively through learning from experience. I employ reinforcement learning as a guiding framework for driving such agents.
  
Selected Publications
  
[1]     B. Goodrich, T. Lancewicki, I. Arel, "Sequential Covariance-Matrix Estimation with Application to Mitigating Catastrophic Forgetting," to appear in IEEE International Conference on Machine Learning and Applications (ICMLA), December, 2015 [pdf]
[2]     B. Goodrich, I. Arel, "Mitigating Catastrophic Forgetting in Temporal Difference Learning with Function Approximation," in Proc. of the 2nd Multidisciplinary Conference on Reinforcement Learning and Decision Making, June, 2015 [pdf]
[3]     B. Goodrich, I. Arel, "Neuron Clustering for Mitigating Catastrophic Forgetting in Feedforward Neural Networks," in IEEE Symposium Series on Computational Intelligence (SSCI), December, 2014 [pdf]
[4]     B. Goodrich, I. Arel, "Unsupervised Neuron Selection for Mitigating Catastrophic Forgetting in Neural Networks," in Proc. IEEE MWSCAS, August, 2014 [pdf]
[5]     B. Goodrich, I. Arel, "Reinforcement Learning based Visual Attention with Application to Face Detection," in Proc. 3rd IEEE International Workshop on Computer Vision for Computer Games, Providence, Rhode Island., June, 2012 [pdf]
[6]     B. Goodrich, I. Arel, "Consolidated Actor Critic Reinforcement Learning Model Applied to Face Detection," (BEST STUDENT POSTER AWARD) in Proc. of the 50th ACM Southeast Conference, Tuscaloosa, AL, March, 2012
[7]     N. Pennington, B. Goodrich, I. Arel, "Contrasting Infant Perception Data with a Reinforcement Learning Visual Search Model," in Proc. 2nd International Conference on Biologically Inspired Cognitive Architectures (BICA 2011), November, 2011