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Skip to Search Results- 38Machine learning
- 5Artificial intelligence
- 4Reinforcement learning
- 3Game theory
- 3Online learning
- 2Learning theory
- 2White, Martha
- 1Ajallooeian, Mohammad Mahdi
- 1Allen, Felicity R
- 1Bard, Nolan DC
- 1Bartók, Gábor
- 1Bastani, Meysam
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Fall 2010
Non-Player Character (NPC) behaviors in today’s computer games are mostly generated from manually written scripts. The high cost of manually creating complex behaviors for each NPC to exhibit intelligence in response to every situation in the game results in NPCs with repetitive and artificial...
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Fall 2023
Self-play is a technique for machine learning in multi-agent systems where a learning algorithm learns by interacting with copies of itself. Self-play is useful for generating large quantities of data for learning, but has the drawback that agents the learner will face post-training may have...
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Fall 2017
Cognates are words in related languages that have originated from the same word in an ancestor language, such as the English/German word pair father/Vater. Cognate information is critical in the field of historical linguistics, where it is used to determine the relationships between languages and...
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Fall 2017
On the one hand, theoretical analyses of machine learning algorithms are typically performed based on various probabilistic assumptions about the data. While these probabilistic assumptions are important in the analyses, it is debatable whether such assumptions actually hold in practice. Another...
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Learning in silico Reactant and Bond-of-Metabolism Predictors for Human Cytochrome P450 Enzymes
DownloadFall 2019
Human beings are exposed to many chemicals through their routine interactions with the environment, such as food/drug consumption, household or workplace activities, industrial or transportation activities, and even common environmental processes. Once absorbed, these chemicals are usually...
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Fall 2009
In this thesis we consider the task of catching a moving target with multiple pursuers, also known as the “Pursuit Game”, in which coordination among the pursuers is critical. Our testbed is inspired by the pursuit problem in video games, which require fast planning to guarantee fluid frame...
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Machine learning classification of plant genotypes grown under different light conditions through the integration of multi-scale time-series data
DownloadFall 2023
In order to mitigate the effects of a changing climate, agriculture requires more effective evaluation, selection, and production of crop cultivars in order to accelerate genotype-to-phenotype connections and the selection of beneficial traits. Critically, plant growth and development are highly...
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Spring 2019
Walking is a locomotor task that integrates information from all over the nervous system. The lumbosacral spinal cord houses neural networks that contribute to locomotion. These networks dominate locomotor activity during development and may provide suitable targets for restoring function after...