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Filtering by: Creator Mote, Don C. (Don Carlos) Remove constraint Creator: Mote, Don C. (Don Carlos) Committee Member Dietterich, Thomas G. Remove constraint Committee Member: Dietterich, Thomas G. Degree Field Computer Science Remove constraint Degree Field: Computer Science

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  • Multi-criteria average reward reinforcement learning

    Creator:
    Natarajan, Sriraam
    Abstract:
    Reinforcement learning (RL) is the study of systems that learn from interaction with their environment. The current framework of Reinforcement Learning is based on receiving scalar rewards, which the agent aims to maximize. But in many real world situations, tradeoffs must be made among multiple objectives. This necessitates the use...
    Resource Type:
    Masters Thesis
    Full Text:
    reinforcement learning techniques. Consider the fact that these weights can vary with time. One day the don

  • Machine Learning Techniques to Model Species Interactions and Distributions Under Imperfect Detection

    Creator:
    Seo, Eugene
    Abstract:
    Ecological domains seeking to understand the environment and the behavior of species have received little attention in machine learning (ML), despite the fact that environmental changes have a significant impact on humans as well as ecosystems. Some ecological problems can be formulated similarly to other common ML applications, but there...
    Resource Type:
    Dissertation
    Full Text:
    Analysis in Latent Spaces . . . . . . . . . . . . . . . . . . 136 C Proof of Lemma 1