Browsing by Subject "genetic programming"
Now showing items 1-5 of 5
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Diversity and Novelty as Objectives in Poker
(2016-08-18)Evolutionary algorithms are capable to lead to efficient solutions without a predefined design and few human bias. However, they can be prone to early convergence and may be deceived by a non-informative or deceptive fitness ... -
Providing Real-Valued Actions for Tangled Program Graphs Under the CartPole Benchmark
(2020-08-20)The Tangled Program Graph framework (TPG) is a genetic programming approach to reinforcement learning. Canonical TPG is limited to performing discrete actions. This thesis investigates mechanisms by which TPG might perform ... -
Scaling Genetic Programming to Challenging Reinforcement Tasks through Emergent Modularity
(2018-06-21)Algorithms that learn through environmental interaction and delayed rewards, or reinforcement learning, increasingly face the challenge of scaling to dynamic, high-dimensional environments. Video games model these types ... -
Towards Coevolutionary Genetic Programming with Pareto Archiving Under Streaming Data
(2013-08-16)Classification under streaming data constraints implies that training must be performed continuously, can only access individual exemplars for a short time after they arrive, must adapt to dynamic behaviour over time, and ... -
Urschleim in Silicon: Return-Oriented Program Evolution with ROPER
(2018-04-20)Return-orientated programming (ROP) identifies pieces of a process’s executable memory ending in a return instruction (gadgets), and enlists them as an instruction set in which a new, “parasitic” program can be written, ...
