Index Catalog // ScholarsArchive@OSU

Counterfactual thinking applied to multiagent systems

Creator:: Zerbel, Nicholas
Abstract:: Multiagent approaches are well suited to designing autonomous solutions for systems that feature complex interactions between many individuals such as in autonomous traffic systems and multi-robot exploration systems. However, creating autonomous agents that function effectively in these systems is a challenging task. In these complex environments, agents need informative reward...
Resource Type:: Dissertation

On Avoiding Power-Seeking by Artificial Intelligence

Creator:: Turner, Alexander M.
Abstract:: We do not know how to align a very intelligent AI agent's behavior with human interests. I investigate whether—absent a full solution to this AI alignment problem—we can build smart {\ai} agents which have limited impact on the world, and which do not autonomously seek power. In this thesis, I...
Resource Type:: Dissertation

Providing Informative Feedback for Learning in Tightly Coupled Multiagent Domains

Creator:: Rockefeller, Golden C.
Abstract:: Autonomous agents that sense, decide, act, and coordinate effectively with each other are critical in many real-world domains such as autonomous driving, search and rescue missions, air traffic management, and underwater or deep space exploration. All such domains share a key difficulty: though high-level mission goals are clear to system...
Resource Type:: Dissertation

Coordination for Scalable Multiple Robot Planning Under Temporal Uncertainty

Creator:: Marcon dos Santos, Gilberto
Abstract:: This dissertation incorporates coalition formation and probabilistic planning towards a domain-independent automated planning solution scalable to multiple heterogeneous robots in complex domains. The first research direction investigates the effectiveness of Task Fusion and introduces heuristics that improve task allocation and result in better quality plans, while requiring lower computational cost...
Resource Type:: Dissertation

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

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

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

ScholarsArchive@OSU

Counterfactual thinking applied to multiagent systems

On Avoiding Power-Seeking by Artificial Intelligence

Providing Informative Feedback for Learning in Tightly Coupled Multiagent Domains

Coordination for Scalable Multiple Robot Planning Under Temporal Uncertainty

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

Incorporating and Learning Behavior Constraints for Sequential Decision Making

New learning modes for sequential decision making

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