Search Constraints

Start Over
Filtering by: Creator Vomocil, David Leo Remove constraint Creator: Vomocil, David Leo Advisor Fern, Alan Remove constraint Advisor: Fern, Alan Committee Member Wong, Weng-Keen Remove constraint Committee Member: Wong, Weng-Keen

Search Results

  • 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:
    David Zerbe as well as all my housemates in the “International House”. Over the years, meeting people