Index Catalog // ScholarsArchive@OSU

Using RUBI to partition agents in air traffic problems with hard constraints and reward shaping

Creator:: Curran, William
Abstract:: Air traffic flow management over the U.S. airpsace is a difficult problem. Current management approaches lead to hundreds of thousands of hours of delay, costing billions of dollars annually. Weather and airport conditions may instigate this delay, but routing decisions balancing delay with congestion contribute significantly to the propagation of...
Resource Type:: Masters Thesis

Using Change Representations to Analyze Properties of Variational Software

Creator:: Wang, Xiangyu
Abstract:: Appropriate representations of variational software simplify the analysis of their properties.This thesis proposes tailored representations of two kinds variational softwares: difference files of merge commits in Git and feature models. For the former, we use the Choice Edit Model, which is based on the choice calculus, to represent changes introduced...
Resource Type:: Masters Thesis

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

Towards reliable and survivable ocean wave energy converters

Creator:: Brown, Adam C.
Abstract:: Ocean wave energy is a new and developing field of renewable energy with great potential. The energy contained in one meter of an average wave off the coast of Newport Oregon could supply dozens of homes with electricity. However, ocean waves are usually quite irregular which leads to large bursts...
Resource Type:: Masters Thesis

ThreshKnot: Thresholded ProbKnot for Improved RNA Secondary Structure Prediction

Creator:: Zhang, Liang
Abstract:: RNA structure prediction is a challenging problem, especially with pseudoknots. Recently, there has been a shift from the classical minimum free energy-based methods (MFE) to partition function-based ones that assemble structures based on base-pairing probabilities. Two typical examples of the latter group are the popular maximum expected accuracy (MEA) method...
Resource Type:: Masters Thesis

Shrunken learning rates do not improve AdaBoost on benchmark datasets

Creator:: Forrest, Daniel L. K.
Abstract:: Recent work has shown that AdaBoost can be viewed as an algorithm that maximizes the margin on the training data via functional gradient descent. Under this interpretation, the weight computed by AdaBoost, for each hypothesis generated, can be viewed as a step size parameter in a gradient descent search. Friedman...
Resource Type:: Masters Thesis

Scale effects on reinforced concrete beams strengthened for shear with discrete externally bonded carbon fiber-reinforced polymer U-wraps

Creator:: Dawson, Matthew Ryan
Abstract:: Current ACI design provisions for shear in reinforced concrete (RC) beams strengthened with externally bonded carbon fiber-reinforced polymer (CFRP) U-wraps may not adequately account for the effect of scale. This paper describes tests of 6 geometrically scaled beams to identify possible scale effects of such beams. Results indicated that effective...
Resource Type:: Masters Thesis

Reinforcement learning-based off-equilibrium incentives to approximate the VCG mechanism

Creator:: Moissinac, Béatrice
Abstract:: Auctions are used to solve resource allocation problem between many agents and many items in real-world settings. Unfortunately, in most cases, it is possible for selfish agents to manipulate the system for their own interest at the expense of the social welfare. Such manipulation can be prevented using the Vickrey-Clarke-Groves...
Resource Type:: Masters Thesis

Re-understanding Finite-State Representations of Recurrent Policy Networks

Creator:: Danesh, Mohamad H.
Abstract:: We propose an approach for understanding control policies represented as recurrent neural networks. Recent work has approached this problem by transforming such recurrent policy networks into finite-state machines (FSM) and then analyzing the equivalent minimized FSM. While this led to interesting insights, the minimization process can obscure a deeper understanding...
Resource Type:: Masters Thesis

Protein secondary structure prediction using conditional random fields and profiles

Creator:: Shen, Rongkun
Abstract:: Protein secondary structure prediction plays a pivotal role in predicting protein folding in three-dimensions. Its task is to assign each residue one of the three secondary structure classes helix, strand, or random coil. This is an instance of the problem of sequential supervised learning in machine learning. This thesis describes...
Resource Type:: Masters Thesis

ScholarsArchive@OSU

Using RUBI to partition agents in air traffic problems with hard constraints and reward shaping

Using Change Representations to Analyze Properties of Variational Software

UCT for tactical assault battles in real-time strategy games

Towards reliable and survivable ocean wave energy converters

ThreshKnot: Thresholded ProbKnot for Improved RNA Secondary Structure Prediction

Shrunken learning rates do not improve AdaBoost on benchmark datasets

Scale effects on reinforced concrete beams strengthened for shear with discrete externally bonded carbon fiber-reinforced polymer U-wraps

Reinforcement learning-based off-equilibrium incentives to approximate the VCG mechanism

Re-understanding Finite-State Representations of Recurrent Policy Networks

Protein secondary structure prediction using conditional random fields and profiles

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