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05/24/2023
Prompt Evolution for Generative AI: A Classifier-Guided Approach
Synthesis of digital artifacts conditioned on user prompts has become an...
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12/15/2022
Neuroevolution Surpasses Stochastic Gradient Descent for Physics-Informed Neural Networks
The potential of learned models for fundamental scientific research and ...
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02/07/2022
Effects of Parametric and Non-Parametric Methods on High Dimensional Sparse Matrix Representations
The semantics are derived from textual data that provide representations...
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10/07/2021
Offline RL With Resource Constrained Online Deployment
Offline reinforcement learning is used to train policies in scenarios wh...
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12/03/2020
Scalable Transfer Evolutionary Optimization: Coping with Big Task Instances
In today's digital world, we are confronted with an explosion of data an...
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12/13/2018
Soft Actor-Critic Algorithms and Applications
Model-free deep reinforcement learning (RL) algorithms have been success...
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04/04/2018
A Fixed Point Theorem for Iterative Random Contraction Operators over Banach Spaces
Consider a contraction operator T over a Banach space X with a fixed po...
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02/16/2018
