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Filtering by: Creator Kearns, Richard Seng Remove constraint Creator: Kearns, Richard Seng Committee Member Tadepalli, Prasad Remove constraint Committee Member: Tadepalli, Prasad

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UCT for tactical assault battles in real-time strategy games

Creator:

Balla, Radha-Krishna

Abstract:

We consider the problem of tactical assault planning in real-time strategy games where a team of friendly agents must launch an assault on an enemy. This problem offers many challenges including a highly dynamic and uncertain environment, multiple agents, durative actions, numeric attributes, and different optimization objectives. While the dynamics...

Resource Type:

Masters Thesis
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
Structured learning with latent variables : theory and algorithms

Creator:

Zhao, Kai

Abstract:

Most tasks in natural language processing (NLP) try to map structured input (e.g., sentence or word sequence) to some form of structured output (tag sequence, parse tree, semantic graph, translated/paraphrased/compressed sentence), a problem known as “structured prediction”. While various learning algorithms such as the perceptron, maximum entropy, and expectation-maximization have...

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
Explanations and Processes to Enable Humans to Assess AI with Respect to Manipulable Properties

Creator:

Dodge, Jonathan E.

Abstract:

Assessing AI systems is difficult. Humans rely on AI systems in increasing ways, both visible and invisible, meaning a variety of stakeholders need a variety of assessment tools (e.g., a professional auditor, a developer, and an end user all have different needs). We posit that it is possible to provide...

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Dissertation

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Academic Affiliation

Electrical Engineering and Computer Science5

Advisor

Dietterich, Thomas G.2
Burnett, Margaret M.1
Fern, Alan1
Fern, Alan P.1
Huang, Liang1

Commencement Year

Commencement Year range begin – Commencement Year range end

Current results range from 2009 to 2022

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Committee Member

Tadepalli, Prasad[remove]5
Batten, Belinda A.1
Dilles, John1
Fern, Alan1
Groce, Alex1
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Creator

Alkaee Taleghan, Majid1
Balla, Radha Krishna1
Dodge, Jonathan E.1
Pinto, Jervis1
Zhao, Kai1

Date

Date range begin – Date range end

Current results range from 2009 to 2022

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Decade

2020-20291
2010-20193
2000-20091

Degree Field

Computer Science5

Degree Level

Doctoral4
Master's1

Degree Name

Doctor of Philosophy (Ph.D.)4
Master of Science (M.S.)1

Language

English [eng]5

License

All rights reserved5

Non-Academic Affiliation

Oregon State University. Graduate School4

Peer Reviewed

No5

Resource Type

Dissertation4
Masters Thesis1

Rights Statement

In Copyright5

Subject

Markov processes2
Computer programming1
Computer war games -- Computer programs1
Decision making1
Introduced organisms -- Control -- Decision making1
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