Index Catalog // ScholarsArchive@OSU

Decentralized Multiagent Coordination for Connected and Autonomous Vehicle Routing in Congested Networks

Creator:: Mostafizi, Alireza
Abstract:: In 2017, the cost of congestion in the United States was around 305 billion dollars, and city-dwellers, on average, lost 1400 dollars while sitting 42 hours in traffic jams. Aiming for better mobility and more efficient utilization of the transportation network, emerging connected and autonomous vehicle (CAV) technologies and their...
Resource Type:: Dissertation
Full Text:: , Dana Ainsworth, Michelle McAllaster, Cindy Olson, Johanna Carson, Paul Montagne, Jordan Jones, and

Investigating Protein-lipid-membrane Interactions in Plant Cells using Bimolecular Fluorescence Complementation

Creator:: Tao, Kai
Abstract:: The overall focus of this thesis is on the distribution of specific lipids and membrane proteins of the external and internal membranes of plant cells, in the context of the roles that those lipids and proteins may play in microbe-plant interactions. The work includes the development of several new tools,...
Resource Type:: Dissertation
Full Text:: , Sam Tylor, Hua wise, Emily, Justin, Missy, Ana, Jordan, Heather. Especially I would like to thank

Simulator-Defined MDP Planning with Applications in Natural Resource Management

Creator:: Alkaee Taleghan, Majid
Abstract:: This work is inspired by problems in natural resource management centered on the challenge of invasive species. Computing optimal management policies for maintaining ecosystem sustainable is challenging. Many ecosystem management problems can be formulated as MDP (Markov Decision Process) planning problems. In a simulator-defined MDP, the Markovian dynamics and rewards...
Resource Type:: Dissertation

Domain-Independent Planning for Markov Decision Processes with Factored State and Action Spaces

Creator:: Raghavan, Aswin
Abstract:: Markov Decision Processes (MDPs) are the de-facto formalism for studying sequential decision making problems with uncertainty, ranging from classical problems such as inventory control and path planning, to more complex problems such as reservoir control under rainfall uncertainty and emergency response optimization for fire and medical emergencies. Most prior research...
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

Incorporating and Learning Behavior Constraints for Sequential Decision Making

Creator:: Pinto, Jervis
Abstract:: Writing a program that performs well in a complex environment is a challenging task. In such problems, a method of deterministic programming combined with reinforcement learning (RL) can be helpful. However, current systems either force developers to encode knowledge in very specific forms (e.g., state-action features), or assume advanced RL...
Resource Type:: Dissertation

The Broad-Spectrum Antiviral Compound ST-669 Restricts Chlamydial Inclusion Development and Bacterial Growth and Localizes to Host Cell Lipid Droplets within Treated Cells

Creator:: Sandoz, Kelsi M., Valiant, William G., Eriksen, Steven G., Hruby, Dennis E., Allen, Robert D., III, and Rockey, Daniel D.
Abstract:: Novel broad-spectrum antimicrobials are a critical component of a strategy for combating antibiotic-resistant pathogens. In this study, we explored the activity of the broad-spectrum antiviral compound ST-669 for activity against different intracellular bacteria and began a characterization of its mechanism of antimicrobial action. ST-669 inhibits the growth of three different...
Resource Type:: Article
Full Text:: our laboratories. ACKNOWLEDGMENTS We thank Amy Moore, Erin Brown, and Robert Jordan at SIGA technol

New learning modes for sequential decision making

Creator:: Judah, Kshitij
Abstract:: This thesis considers the problem in which a teacher is interested in teaching action policies to computer agents for sequential decision making. The vast majority of policy learning algorithms o er teachers little flexibility in how policies are taught. In particular, one of two learning modes is typically considered: 1)...
Resource Type:: Dissertation

Context Dependent Effects of Chimeric Peptide Morpholino Conjugates Contribute to Dystrophin Exon-skipping Efficiency

Creator:: Yin, HaiFang, Boisguerin, Prisca, Moulton, Hong M., Betts, Corinne, Seow, Yiqi, Boutilier, Jordan, Wang, Qingsong, Walsh, Anthony, Lebleu, Bernard, and Wood, Matthew J. A.
Abstract:: We have recently reported that cell-penetrating peptides (CPPs) and novel chimeric peptides containing CPP (referred as B peptide) and muscle-targeting peptide (referred as MSP) motifs significantly improve the systemic exon-skipping activity of morpholino phosphorodiamidate oligomers (PMOs) in dystrophin-deficient mdx mice. In the present study, the general mechanistic significance of the...
Resource Type:: Article

Bayesian methods for knowledge transfer and policy search in reinforcement learning

Creator:: Wilson, Aaron
Abstract:: How can an agent generalize its knowledge to new circumstances? To learn effectively an agent acting in a sequential decision problem must make intelligent action selection choices based on its available knowledge. This dissertation focuses on Bayesian methods of representing learned knowledge and develops novel algorithms that exploit the represented...
Resource Type:: Dissertation

ScholarsArchive@OSU

Decentralized Multiagent Coordination for Connected and Autonomous Vehicle Routing in Congested Networks

Investigating Protein-lipid-membrane Interactions in Plant Cells using Bimolecular Fluorescence Complementation

Simulator-Defined MDP Planning with Applications in Natural Resource Management

Domain-Independent Planning for Markov Decision Processes with Factored State and Action Spaces

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

Incorporating and Learning Behavior Constraints for Sequential Decision Making

The Broad-Spectrum Antiviral Compound ST-669 Restricts Chlamydial Inclusion Development and Bacterial Growth and Localizes to Host Cell Lipid Droplets within Treated Cells

New learning modes for sequential decision making

Context Dependent Effects of Chimeric Peptide Morpholino Conjugates Contribute to Dystrophin Exon-skipping Efficiency

Bayesian methods for knowledge transfer and policy search in reinforcement learning

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