Browsing by Subject "Genetic Programming"
Now showing items 1-6 of 6
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Benchmarking Modular Genetic Programming on Deep Memory Tasks
(2022-04-01)Partially observable tasks require a learning agent to make decisions based on the previous state, hence a requirement for memory. There is a trade-off between the flexibility and specificity of the memory. This impacts ... -
A Comparison of Traversal Strategies for Tangled Program Graphs under the Arcade Learning Environment
(2021-04-27)Tangled program graphs provides a framework for constructing modular genetic programming solutions to visual reinforcement learning tasks. In order to guard against the development of cycles within the resulting graph, and ... -
EXPLORING THE EFFECT OF SAMPLING AND DIMENSIONALITY REDUCTION TECHNIQUES FOR INSIDER THREAT DETECTION
(2024-07-25)Insider threats represent a significant challenge for organizations. They cost organizations money, time and resources. In 2024, a recent report by Code42 found that the average cost of an insider incident is $15 million. ... -
Label Free Change Detection on Streaming Data with Cooperative Multi-objective Genetic Programming
(2013-08-20)Classification under streaming data conditions requires that the machine learning approach operate interactively with the stream content. Thus, given some initial machine learning classification capability, it is not ... -
Reinforcement Learning with Real Valued Tangled Program Graphs
(2021-08-27)Tangled Program Graphs (TPG) represents a framework for evolving programs under an explicitly emergent model for modularity. The framework has been very successful at discovering solutions to tasks with delayed rewards ... -
A Symbiotic Bid-Based Framework for Problem Decomposition using Genetic Programming
(2011-03-08)This thesis investigates the use of symbiosis as an evolutionary metaphor for problem decomposition using Genetic Programming. It begins by drawing a connection between lateral problem decomposition, in which peers with ...