Sneha Aenugu

Social & Decision Neuroscience
California Institute of Technology

My research spans the fields of computational cognitive neuroscience, reinforcement learning, and machine learning. Here are my contributions to date.

Look me up on Google Scholar for another view on my publications.

Computational Cognitive Neuroscience

“Asymmetric weights and retrieval practice in an autoassociative neural network model of paired-associate learning.” Sneha Aenugu and David Huber. In Neural Computation 2021.
“Retrospective value bias in setting temporally extended goals in humans.” Sneha Aenugu and John P. O'Doherty. In Conference on Cognitive Computational Neuroscience 2023.

Reinforcement learning

“Reinforcement learning with a network of spiking agents.” Sneha Aenugu, Abhishek Sharma, Sasikiran Yelamarthy, Hananel Hazan, Philip Thomas, Robert Kozma. In NeurIPS Workshop on Real Neurons and Hidden Units 2019.
“Perturbation-based exploration methods in deep reinforcement learning.” Sneha Aenugu. In arxiv 2020 .

Machine Learning

“ Lexicase selection in learning classifier systems.” Sneha Aenugu and Lee Spector,. In Proceedings of The Genetic and Evolutionary Computation Conference (Oral Presentation) 2019.
“A memory enhanced LSTM for modeling complex temporal dependencies.” Sneha Aenugu. In NeurIPS Workshop on Context and Compositionality in Biological and Artificial Neural Systems 2019.