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Skip to Search Results- 84Artificial Intelligence
- 22Machine Learning
- 21Game theory
- 10Computer Games
- 10Reinforcement Learning
- 8Planning
- 4Müller, Martin
- 3Bowling, Michael
- 3Johanson, Michael
- 3Lanctot, Marc
- 3Mueller, Martin
- 3Zinkevich, Martin
- 65Graduate and Postdoctoral Studies (GPS), Faculty of
- 65Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 21Computing Science, Department of
- 21Computing Science, Department of/Technical Reports (Computing Science)
- 4WISEST Summer Research Program
- 4WISEST Summer Research Program/WISEST Research Posters
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Spring 2016
Games have been used as a testbed for artificial intelligence research since the earliest conceptions of computing itself. The twin goals of defeating human professional players at games, and of solving games outright by creating an optimal computer agent, have helped to drive practical ...
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Scalable Solutions to Image Abnormality Detection and Restoration using Limited Contextual Information
DownloadFall 2020
Detecting and interpreting image abnormalities and restoring images are essential to many processing pipelines in diverse fields. Challenges involved include randomness and unstructured nature of image artefacts (from signal processing perspective) and performance constraints imposed by...
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Sequential decision-making in a variable environment: modeling elk movement in Yellowstone National Park as a dynamic game.
Download2007
Potapov, A. B., Noonburg, E. G., Newman, L. A., Lewis, M. A., Crabtree, R. L.
We develop a suite of models with varying complexity to predict elk movement behavior during the winter on the Northern Range of Yellowstone National Park (YNP). The models range from a simple representation of optimal patch choice to a dynamic game, and we show how the underlying theory in each...
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Fall 2023
Many works of art are created through the process of an artist sketching and then incrementally increasing the fidelity of the artwork. This requires significant amounts of work and effort throughout, but not all steps require the same amount of artistic input. Certain parts only require...
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Fall 2014
Designing competitive Artificial Intelligence (AI) systems for Real-Time Strategy (RTS) games often requires a large amount of expert knowledge (resulting in hard-coded rules for the AI system to follow). However, aspects of an RTS agent can be learned from human replay data. In this thesis, we...
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Strengths, Weaknesses, and Combinations of Model-based and Model-free Reinforcement Learning
DownloadSpring 2016
Reinforcement learning algorithms are conventionally divided into two approaches: a model-based approach that builds a model of the environment and then computes a value function from the model, and a model-free approach that directly estimates the value function. The first contribution of this...
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2011
Technical report TR11-01. Causality is a fundamental concept in reasoning. The effectiveness of many reasoning tasks depends on the understanding of the underlying cause-effect relationships. Therefore, the notion of causality has been explored in a wide range of disciplines. Causal discovery,...
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Fall 2013
Given nothing but the generative model of the environment, Monte Carlo Tree Search techniques have recently shown spectacular results on domains previously thought to be intractable. In this thesis we try to develop generic techniques for temporal abstraction inside MCTS that would allow the...