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Filtering by: Creator Oregon State Game Commission Remove constraint Creator: Oregon State Game Commission Advisor Tumer, Kagan Remove constraint Advisor: Tumer, Kagan License All rights reserved Remove constraint License: All rights reserved

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  • Distortion of Agent States for Improved Coordination

    Creator:
    Yates, Connor L
    Abstract:
    Many real world problems have partial solutions or intermediary steps which can lead toward solving the problem. When assembling robotic teams to solve these problems, we have intuition about which intermediary steps are more useful than others. We examine methods to identify and apply our designer intuition onto tightly coupled...
    Resource Type:
    Honors College Thesis
    Full Text:
    Connor Yates A THESIS submitted to Oregon State University University Honors College in

  • Condensing observation of locale and agents : a state representation

    Creator:
    Valenti, Brett A
    Abstract:
    Computing agents require state information to make coherent and useful decisions. A state representation is a numerical translation of the environment and conditions that are pertinent factors in an agent's decision making. Although many representations, when paired with clever learning algorithms, are able to coordinate and capture prey in specific...
    Resource Type:
    Masters Thesis
    Full Text:
    Brett A. Valenti A THESIS submitted to Oregon State University in partial fulfillment of the

  • Reinforcement learning-based off-equilibrium incentives to approximate the VCG mechanism

    Creator:
    Moissinac, Béatrice
    Abstract:
    Auctions are used to solve resource allocation problem between many agents and many items in real-world settings. Unfortunately, in most cases, it is possible for selfish agents to manipulate the system for their own interest at the expense of the social welfare. Such manipulation can be prevented using the Vickrey-Clarke-Groves...
    Resource Type:
    Masters Thesis
    Full Text:
    Béatrice Moissinac A THESIS submitted to Oregon State University in partial fulfillment of the

  • Theoretical and implementation improvements for difference evaluation functions

    Creator:
    Colby, Mitchell Kataichi
    Abstract:
    Multiagent learning with cooperative coevolutionary algorithms is a critical area of research, and is relevant to many real-world applications including air traffic control, distributed sensor network control, and game-theoretic applications such as border patrol. A key difficulty in multiagent learning is the credit assignment problem, where the impact of each...
    Resource Type:
    Dissertation
    Full Text:
    Difference Evaluation Functions by Mitchell Kataichi Colby A DISSERTATION submitted to Oregon State

  • Counterfactual thinking applied to multiagent systems

    Creator:
    Zerbel, Nicholas
    Abstract:
    Multiagent approaches are well suited to designing autonomous solutions for systems that feature complex interactions between many individuals such as in autonomous traffic systems and multi-robot exploration systems. However, creating autonomous agents that function effectively in these systems is a challenging task. In these complex environments, agents need informative reward...
    Resource Type:
    Dissertation
    Full Text:
    Nicholas Zerbel A DISSERTATION submitted to Oregon State University in partial fulfillment of the

  • Learning from action not taken in multiagent systems

    Creator:
    Khani, Newsha
    Abstract:
    Coordination in large multiagent systems in order to achieve a system level goal is a critical challenge. Given the agents' intention to cooperate, there is no guarantee that the agent actions will lead to good system objective especially when the system becomes large. One of the primary difficulties in such...
    Resource Type:
    Masters Thesis
    Full Text:
    from Action Not Taken in Multiagent Systems by Newsha Khani A THESIS submitted to Oregon State

  • Learning in Complex Domains : Leveraging Multiple Rewards through Alignment

    Creator:
    Klinkhammer, Eric R.
    Abstract:
    In this thesis, we introduce alignment-based algorithms for improving the performance of reinforcement learning solutions for problems where the reward signal cannot be collapsed into a single number. Many real world problems require an agent to balance performance, longevity, and safety, and do so across different timelines. The key to...
    Resource Type:
    Masters Thesis
    Full Text:
    . Klinkhammer A THESIS submitted to Oregon State University in partial fulfillment of the requirements for

  • Robust Long Term Autonomy Through Local Behaviors

    Creator:
    Yates, Connor L.
    Abstract:
    Multi-robot teams offer promising solutions for many long term deployments in remote and dangerous domains, such as extraterrestrial or underseas exploration. However, long term deployments present many problems preventing robot teams from operating effectively. Learning over long time scales is makes it difficult to assign credit to robots' actions, as...
    Resource Type:
    Dissertation
    Full Text:
    Behaviors by Connor Yates A DISSERTATION submitted to Oregon State University in partial fulfillment of

  • Multiagent learning for locomotion and coordination in tensegrity robotics

    Creator:
    Iscen, Atil
    Abstract:
    Tensegrity structures are composed of pure compressional elements that are connected via a network of pure tensional elements. The concept of tensegrity promises numerous advantages to the field of robotics. Tensegrity robots are, however, notoriously difficult to control due to their oscillatory nature and nonlinear interaction between the components. Multiagent...
    Resource Type:
    Dissertation
    Full Text:
    I understand that my dissertation will become part of the permanent collection of Oregon State

  • Adaptive Multiagent Traffic Management for Autonomous Robotic Systems

    Creator:
    Rebhuhn, Carrie
    Abstract:
    There is growing commercial interest in the use of unmanned aerial vehicles (UAVs) in urban environments, specifically for package delivery applications. However, the size, complexity and sheer numbers of expected UAVs makes conventional air traffic management that relies on human air traffic controllers infeasible. To enable UAVs to safely and...
    Resource Type:
    Dissertation
    Full Text:
    Autonomous Robotic Systems by Carrie Melinda Rebhuhn A DISSERTATION submitted to Oregon State University