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Filtering by: Creator Clukey, Darrell Frank Committee Member Tadepalli, Prasad

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
Object Tracking-by-Segmentation in Videos

Creator:

Chen, Sheng

Abstract:

This thesis focuses on the problem of object tracking. Given a video, the general objective of tracking is to track the location over time of one or more targets in the image sequence. This is a very challenging task as algorithms need to deal with problems such as appearance variations,...

Resource Type:

Dissertation
D₊₊ : Structural Credit Assignment in Tightly Coupled Multiagent Domains

Creator:

Rahmattalabi, Aida

Abstract:

Autonomous multiagent teams can be used in complex exploration tasks to both expedite the exploration and improve the efficiency. However, use of multiagent systems presents additional challenges. Specifically, in domains where the agents' actions are tightly coupled, coordinating multiple agents to achieve cooperative behavior at the group level is difficult....

Resource Type:

Masters Thesis
Efficient Incremental Panorama Reconstruction from Multiple Videos

Creator:

Feng, Zhongyuan

Abstract:

Constructing a panorama from a set of videos is a long-standing problem in computer vision. A panorama represents an enhanced still-image representation of an entire scene captured in a set of videos, where each video shows only a part of the scene. Importantly, a panorama shows only the scene background,...

Resource Type:

Capstone Project