Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Cleghorn, Christopher"'
Large Language Models (LLMs) have emerged as powerful tools capable of accomplishing a broad spectrum of tasks. Their abilities span numerous areas, and one area where they have made a significant impact is in the domain of code generation. Here, we
Externí odkaz:
http://arxiv.org/abs/2306.01102
The process of training feedforward neural networks (FFNNs) can benefit from an automated process where the best heuristic to train the network is sought out automatically by means of a high-level probabilistic-based heuristic. This research introduc
Externí odkaz:
http://arxiv.org/abs/2303.16912
In this work, we tackle the problem of open-ended learning by introducing a method that simultaneously evolves agents and increasingly challenging environments. Unlike previous open-ended approaches that optimize agents using a fixed neural network t
Externí odkaz:
http://arxiv.org/abs/2210.11442
This study investigates the use of local optima network (LON) analysis, a derivative of the fitness landscape of candidate solutions, to characterise and visualise the neural architecture space. The search space of feedforward neural network architec
Externí odkaz:
http://arxiv.org/abs/2206.06903
Procedurally generated video game content has the potential to drastically reduce the content creation budget of game developers and large studios. However, adoption is hindered by limitations such as slow generation, as well as low quality and diver
Externí odkaz:
http://arxiv.org/abs/2204.06934
Autor:
Cleghorn, Christopher Wesley
Particle swarm optimization (PSO) is a well known population-based search algorithm, originally developed by Kennedy and Eberhart in 1995. The PSO has been utilized in a variety of application domains, providing a wealth of empirical evidence for its
Externí odkaz:
http://hdl.handle.net/2263/33333
With increasing interest in procedural content generation by academia and game developers alike, it is vital that different approaches can be compared fairly. However, evaluating procedurally generated video game levels is often difficult, due to the
Externí odkaz:
http://arxiv.org/abs/2201.10334
Publikováno v:
In: Parallel Problem Solving from Nature - PPSN XVII. PPSN 2022. Lecture Notes in Computer Science, vol 13398. Springer, Cham (2022)
Designing optimisation algorithms that perform well in general requires experimentation on a range of diverse problems. Training neural networks is an optimisation task that has gained prominence with the recent successes of deep learning. Although e
Externí odkaz:
http://arxiv.org/abs/2109.05606
Publikováno v:
2021 IEEE Symposium Series on Computational Intelligence (SSCI), 2021, pp. 1-8
Point source detection techniques are used to identify and localise point sources in radio astronomical surveys. With the development of the Square Kilometre Array (SKA) telescope, survey images will see a massive increase in size from Gigapixels to
Externí odkaz:
http://arxiv.org/abs/2008.02093
This paper derives, under minimal modelling assumptions, a simple to use theorem for obtaining both order-$1$ and order-$2$ stability criteria for a common class of particle swarm optimization (PSO) variants. Specifically, PSO variants that can be re
Externí odkaz:
http://arxiv.org/abs/2004.00476