| Lexicase selection in learning classifier systems S Aenugu, L Spector Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), 2019, 2019 | 54 | 2019 |
| Detection of driving actions that mitigate risk M Campos, VSR Annapureddy, V Gupta, H Rahman, S Aenugu, ... US Patent 11,314,209, 2022 | 23 | 2022 |
| Reinforcement learning with spiking coagents S Aenugu, S Abhishek, Y Sasikiran, H Hananel, PS Thomas, R Kozma arXiv preprint arXiv:1910.06489, 2019 | 4 | 2019 |
| Training spiking neural networks using reinforcement learning S Aenugu arXiv preprint arXiv:2005.05941, 2020 | 3 | 2020 |
| Asymmetric Weights and Retrieval Practice in an Autoassociative Neural Network Model of Paired-Associate Learning S Aenugu, DE Huber Neural Computation 33 (12), 3351-3360, 2021 | 1 | 2021 |
| Reinforcement learning with a network of spiking agents S Aenugu, A Sharma, S Yelamarthi, H Hazan, PS Thomas, R Kozma arXiv preprint arXiv:1910.06489, 2019 | 1 | 2019 |
| Momentum is a key driver of temporally-extended goal persistence in humans S Aenugu, JP O’Doherty OSF, 2024 | | 2024 |
| Detection of driving actions that mitigate risk M Campos, VSR ANNAPUREDDY, V Gupta, H Rahman, S Aenugu, ... US Patent App. 17/728,053, 2022 | | 2022 |
| Perturbation-based exploration methods in deep reinforcement learning S Aenugu arXiv preprint arXiv:2011.05446, 2020 | | 2020 |
| A memory enhanced LSTM for modeling complex temporal dependencies S Aenugu NeurIPS 2019 workshop on Context and Compositionality in Biological and …, 2019 | | 2019 |
