no code implementations • 10 Nov 2020 • Sneha Aenugu
In this study we investigate the effect of perturbations in policy and reward spaces on the exploratory behavior of the agent.
1 code implementation • 12 May 2020 • Sneha Aenugu
Neurons in the brain communicate with each other through discrete action spikes as opposed to continuous signal transmission in artificial neural networks.
no code implementations • 25 Oct 2019 • Sneha Aenugu
In this paper, we present Gamma-LSTM, an enhanced long short term memory (LSTM) unit, to enable learning of hierarchical representations through multiple stages of temporal abstractions.
1 code implementation • NeurIPS Workshop Neuro_AI 2019 • Sneha Aenugu, Abhishek Sharma, Sasikiran Yelamarthi, Hananel Hazan, Philip S. Thomas, Robert Kozma
Neuroscientific theory suggests that dopaminergic neurons broadcast global reward prediction errors to large areas of the brain influencing the synaptic plasticity of the neurons in those regions.
no code implementations • 10 Jul 2019 • Sneha Aenugu, Lee Spector
We show that batch-lexicase selection results in the creation of more generic rules which is favorable for generalization on future data.