Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 6 of 6 for “"Real-Time Strategy Games"”.
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Predictive analysis of real-time strategy games using graph mining
… or increase the efficacy of a task. Real-Time Strategy (RTS) video games are not only a popular entertainment medium, they also are an abstraction of many real-world applications where the aim is to increase your resources and decrease those of your opponent. Using predictive …
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A Game of Musical Layers: An Investigation into the use of a Vertical Layering Soundtrack as an Integral part of the of the Information System of a Video Game
… The analytical and information-rich genre of real-time strategy games is used to contextualise the research, although this research has wider relevance to other genres, as well as the field of game audio in general. The work presented here is supported by a discussion of the relevant knowledge …
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Grounding language in spatial routines
… to build a natural language interface to a real time strategy game, in which a player controls an army of units in a battle. The system understands the meaning of context-dependent natural language commands such as "Run back!" and "Move the marines on top above the fiamethrowers on the …
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Warm-Starting Networks for Sample-Efficient Continuous Adaptation to Parameter Perturbations in Multi-Agent Reinforcement Learning
… mastering challenging problems. Because many real-world systems involve multiple agents interacting with each other in a shared environment, one particularly active subfield of RL is multi-agent reinforcement learning (MARL). Learning robust multi-agent policies in real-time strategy games, …
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Reinforcement learning for multi-agent and robust control systems
… such as playing the game of Go, playing real-time strategy games, robotic control, and autonomous driving. Motivated by these empirical successes, research toward theoretical understandings of RL algorithms has also re-gained great attention in recent years. In this dissertation, our goal …
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Genetic Algorithms Optimized Potential Fields For Decentralized Group Tasking
… typically NP-hard optimization problem with many real-world applications. In this thesis, we use potential fields based on task and agent properties to control the movement of groups of agents and use a genetic algorithm (GA) to optimize potential field parameter values to lead to complex task …