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Filtering by: Creator Vega, Fernando E. Remove constraint Creator: Vega, Fernando E. Advisor Tadepalli, Prasad Remove constraint Advisor: Tadepalli, Prasad

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  • A distributed mixed-integer-programming approach to fair trajectory planning of autonomous systems

    Creator:
    Brahmbhatt, Khushal
    Abstract:
    In a scenario where multiple Unmanned Aerial Vehicles (UAVs) run by different operators are conducting their independent missions in an urban environment, it is important that the limited airspace is shared in a fair manner. Clarity and uniformity in communicating mission specifications to a central controller is also crucial. This...
    Resource Type:
    Capstone Project

  • New Directions in Search-based Structured Prediction: Multi-Task Learning and Integration of Deep Models

    Creator:
    Ma, Chao
    Abstract:
    This thesis studies the problem of structured prediction (SP), where the agent needs to predict a structured output for a given structured input (e.g., Part-of-Speech tagging sequence for an input sentence). Many important applications including machine translation in natural language processing (NLP) and image interpretation in computer vision can be...
    Resource Type:
    Dissertation

  • High-Dimensional Reinforcement Learning with Human Feedback

    Creator:
    Curran, William
    Abstract:
    State-of-the-art personal robots need to perform complex manipulation tasks to be viable in complex scenarios. However, many of these robots, like the PR2, use manipulators with high degrees of freedom. High degrees of freedom are desirable from a functionality standpoint, but make the learning task more difficult by adding a...
    Resource Type:
    Dissertation
    Full Text:
    2: Initialize Q arbitrarily 3: Initialize θ arbitrarily 4: for e← 1 to episodes do 5: s← initialize

  • Integrating learning and search for structured prediction

    Creator:
    Doppa, Janardhan Rao
    Abstract:
    We are witnessing the rise of the data-driven science paradigm, in which massive amounts of data - much of it collected as a side-effect of ordinary human activity - can be analyzed to make sense of the data and to make useful predictions. To fully realize the promise of this...
    Resource Type:
    Dissertation
    Full Text:
    the expected target depth of our Flipbit-null space (E[d]). . . . . . . . . . . . . . . . . . . . 89

  • Effective decision-theoretic assistance through relational hierarchical models

    Creator:
    Natarajan, Sriraam
    Abstract:
    Building intelligent computer assistants has been a long-cherished goal of AI. Many intelligent assistant systems were built and fine-tuned to specific application domains. In this work, we develop a general model of assistance that combines three powerful ideas: decision theory, hierarchical task models and probabilistic relational languages. We use the...
    Resource Type:
    Dissertation
    Full Text:
    cost E[C(I, G0, π, π ′)], which is simply the expected cost of interaction episodes for initial states

  • Structured gradient boosting

    Creator:
    Parker, Charles (Charles Lincoln)
    Abstract:
    The goal of many machine learning problems can be formalized as the creation of a function that can properly classify an input vector, given a set of examples of that function. While this formalism has produced a number of success stories, there are notable situations in which it fails. One...
    Resource Type:
    Dissertation