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 7 of 7 for “"Multiagent Learning"”.
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Robust and Scalable Multiagent Reinforcement Learning in Adversarial Scenarios
Multiagent decision-making is a ubiquitous problem with many real-world applications, such as autonomous driving, multi-player video games, and robot team sports. Key challenges of multiagent learning include the presence of uncertainty in the other agent’s behaviors and the curse of dimensionality …
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Multiagent planning and learning using random decompositions and adaptive representations
Multiagent planning problems are ubiquitous in engineering. Applications range from control of robotic missions and manufacturing processes to resource allocation and traffic monitoring problems. A common theme in all of these missions is the existence of stochastic dynamics that stem from the …
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Effective Learning in Non-Stationary Multiagent Environments
Multiagent reinforcement learning (MARL) provides a principled framework for a group of artificial intelligence agents to learn collaborative and/or competitive behaviors at the level of human experts. Multiagent learning settings inherently solve much more complex problems than single-agent …
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Reconfiguration control in adaptive networks
… own fields. Contributions of our research are a multiagent learning algorithm, a unified game theoretic framework for addressing reconfiguration problems, the identification of reconfiguration control as a problem common to several different fields but previously addressed with field-specific …
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Learning Successful Strategies in Repeated General-sum Games
… in which an agent can use reinforcement learning techniques to learn profitable strategies are affected by other learning agents. These situations can be modeled as general-sum games. When playing repeated general-sum games with other learning agents, the goal of a self-interested …
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Efficient Learning in Team Games: A coordination-competition dilemma
L'abstract è presente nell'allegato / the abstract is in the attachment