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Filtering by: Creator Boutilier, Jordan Remove constraint Creator: Boutilier, Jordan Committee Member Hollinger, Geoff Remove constraint Committee Member: Hollinger, Geoff

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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
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
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

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Academic Affiliation

Mechanical, Industrial, and Manufacturing Engineering2

Advisor

Tumer, Kagan3
Adams, Julie A.1

Commencement Year

Commencement Year range begin – Commencement Year range end

Current results range from 2017 to 2023

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Committee Member

Hollinger, Geoff[remove]4
Adams, Julie A.2
Tadepalli, Prasad2
Jansen, Henri J. F.1
Park, Jihye1
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Creator

Marcon Dos Santos, Gilberto1
Rahmattalabi, Aida1
Rockefeller, Golden C.1
Zerbel, Nicholas1

Date

Date range begin – Date range end

Current results range from 2016 to 2023

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Decade

2020-20293
2010-20191

Degree Field

Robotics4

Degree Level

Doctoral3
Master's1

Degree Name

Doctor of Philosophy (Ph.D.)3
Master of Science (M.S.)1

Language

English [eng]4

License

All rights reserved4

Non-Academic Affiliation

Oregon State University. Collaborative Robotics and Intelligent Systems (CoRIS) Institute1
Oregon State University. Graduate School1

Peer Reviewed

No4

Resource Type

Dissertation3
Masters Thesis1

Rights Statement

In Copyright4

Subject

Multiagent systems1
Reinforcement learning1
Robotics1

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