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Filtering by: Creator Oregon State Game Commission Remove constraint Creator: Oregon State Game Commission Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science License All rights reserved Remove constraint License: All rights reserved

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  • Adversarial planning by strategy switching in a real-time strategy game

    Creator:
    King, Brian D.
    Abstract:
    We consider the problem of strategic adversarial planning in a Real-Time Strategy (RTS) game. Strategic adversarial planning is the generation of a network of high-level tasks to satisfy goals while anticipating an adversary's actions. In this thesis we describe an abstract state and action space used for planning in an...
    Resource Type:
    Masters Thesis
    Full Text:
    Strategy Game by Brian D. King A THESIS submitted to Oregon State University in partial fulfillment

  • Domain-specific language support for experimental game theory

    Creator:
    Walkingshaw, Eric
    Abstract:
    Experimental game theory is the use of game theoretic abstractions—games, players, and strategies—in experiments and simulations. It is often used in cases where traditional, analytical game theory fails or is difficult to apply. This thesis collects three previously published papers that provide domain-specific language (DSL) support for defining and executing...
    Resource Type:
    Masters Thesis
    Full Text:
    Experimental Game Theory by Eric Walkingshaw A THESIS submitted to Oregon State University in partial

  • UCT for tactical assault battles in real-time strategy games

    Creator:
    Balla, Radha-Krishna
    Abstract:
    We consider the problem of tactical assault planning in real-time strategy games where a team of friendly agents must launch an assault on an enemy. This problem offers many challenges including a highly dynamic and uncertain environment, multiple agents, durative actions, numeric attributes, and different optimization objectives. While the dynamics...
    Resource Type:
    Masters Thesis
    Full Text:
    Oregon State University in partial fulfillment of the requirements for the

  • Explanations and Information Foraging in Real-Time Strategy Games

    Creator:
    Penney, Sean J.
    Abstract:
    Assessing and understanding intelligent agents can be a difficult task for users who may lack an artificial intelligence (AI) background. A relatively new area, called “explainable AI,” is emerging to help address this problem, but little is known about how to present and structure information that an explanation system might...
    Resource Type:
    Masters Thesis
    Full Text:
    by Sean J. Penney A THESIS submitted to Oregon State University in partial fulfillment of

  • An evaluation of game controllers and tablets as controllers for interactive TV applications

    Creator:
    Cox, Dale J.
    Abstract:
    There is a growing interest in bringing online and streaming content to the television. Gaming platforms such as the PS3, Xbox 360 and Wii are at the center of this digital convergence; platforms for accessing new media services. This presents a number of interface challenges, as controllers designed for gaming...
    Resource Type:
    Masters Thesis
    Full Text:
    Applications by Dale J. Cox A THESIS submitted to Oregon State

  • Modeling and dynamics analysis of P2P networks based on evolutionary games

    Creator:
    Cho, Seungyun
    Abstract:
    Since free riders in P2P network reduce the system's performance, how to maintain and encourage the nodes' cooperation is an important aspect of P2P related research. In this thesis, a P2P system is modeled based on two games: stag hunt game and snowdrift game. To relate the model to the...
    Resource Type:
    Masters Thesis
    Full Text:
    submitted to Oregon State University in partial fulfillment of the

  • Analysis of bio-based composites for image segmentation with the aid of games

    Creator:
    Inouye, Jennifer A.
    Abstract:
    A fundamental problem in computer vision is to partition an image into meaningful segments. While image segmentation is required by many applications, the thesis focuses on segmentation of computed tomography (CT) images for analysis and quality control of composite materials. The key research contribution of this thesis is a novel...
    Resource Type:
    Masters Thesis
    Full Text:
    Jennifer A. Inouye A THESIS submitted to Oregon State University

  • Counterfactual States for Atari Agents via Generative Deep Learning

    Creator:
    Olson, Matthew L.
    Abstract:
    Although deep reinforcement learning agents have produced impressive results in many domains, their decision making is difficult to explain to humans. To address this problem, past work has mainly focused on explaining why an action was chosen in a given state. A different type of explanation that is useful is...
    Resource Type:
    Masters Thesis
    Full Text:
    Deep Learning by Matthew Lyle Olson A THESIS submitted to Oregon State University in partial

  • Re-understanding Finite-State Representations of Recurrent Policy Networks

    Creator:
    Danesh, Mohamad H.
    Abstract:
    We propose an approach for understanding control policies represented as recurrent neural networks. Recent work has approached this problem by transforming such recurrent policy networks into finite-state machines (FSM) and then analyzing the equivalent minimized FSM. While this led to interesting insights, the minimization process can obscure a deeper understanding...
    Resource Type:
    Masters Thesis
    Full Text:
    of Recurrent Policy Networks by Mohamad Hosein Danesh A THESIS submitted to Oregon State

  • Investigating Latent State and Uncertainty Representations in Reinforcement Learning

    Creator:
    Koul, Anurag
    Abstract:
    Learning latent space representations of high-dimensional world states has been at the core of recent rapid growth in reinforcement learning(RL). At the same time, RL algo- rithms have suffered from ignored uncertainties in the predicted estimates of model-free or model-based methods. In our work, we investigate both of these aspects...
    Resource Type:
    Dissertation
    Full Text:
    to Oregon State University in partial fulfillment of the requirements for the degree of Doctor