Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 50 for “"Heterogeneous Agents"”.
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Essays on Two-Sided Search With Heterogeneous Agents
… information technology. It assumes that when two agents meet, each ""runs"" an imperfect test to estimate the type of the potential mate. Despite the complexity of the problem, I am able to characterize the equilibrium strategies and show that, if the strict Monotone Likelihood Ratio Property …
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Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents
… to severe data scarcity and the presence of heterogeneous agents. In this work, we propose a model-based offline RL method to approach this setting. Using all available data from the various agents, we construct personalized simulators for each individual agent, which are then used to train …
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An Adaptive Approach to Optimal Sparse Mobile-target Search Planning using Heterogeneous Agents
… that makes use of homogeneous resources. Heterogeneous search teams (e.g., a team employing static sensors, unmanned ground vehicles, and unmanned aerial vehicles) could enhance the variety and overall quantity of resources deployed for search. Additionally, due to the varied nature of …
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PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Latent Factor Representation
… In this thesis, we consider offline RL with heterogeneous agents (i.e. varying state dynamics) under severe data scarcity where only one historical trajectory per agent is observed. Under these conditions, we find that the performance of stateof-the-art offline and model-based RL methods …
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Adaptive learning from demonstration in heterogeneous agents: Concurrent minimization and maximization of surprise in sparse reward environments
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2025-12-01
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Essays In Macroeconomics
… in economies with credit constraints and heterogeneous agents. Given the complexity to compute such models, the third chapter reviews the basics of parallel computing in macroeconomics. In the first chapter, I quantitatively assess the welfare maximizing policy during the Great Recession, …
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Essays in Dynamic Economies
… welfare implication of the inflation tax using a heterogeneous agents growth model that mimics some characteristics of the Brazilian economy. The key findings show that heterogeneity leads to a stronger welfare cost of inflation in terms of aggregate per capita output. Moreover, if the inflation …
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A Flexible Infrastructure for Multi-Agent Systems
… more versatile robots and other types of agents. To facilitate multi-agent experiments between heterogeneous agents, including robots and UAVs, we have created a test-bed with both simulation and hardware capabilities. This thesis discusses the creation of this unique, versatile test-bed …
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An agent-based simulation study of the social contagion of divorce
… in the SIRa model. Having more realistic and heterogeneous agents in the agent-based simulation leads to more realistic and accurate results and less uncertainty in the outcomes of the simulation runs.
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The Effect of Financial Enforcement on Entrepreneurship and Growth in the Korean Economy
… and solve a general equilibrium model with heterogeneous agents, occupational choice and financial frictions. Occupational choice and the size of private and state firms are determined endogenously; each depends on agent ""type"" (manager ability and resources), a credit market friction, and …
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Essays on economies with heterogeneous labor
… I study two different economies that consist of heterogeneous labor. By allowing for differences among individuals where previous analyses restricted attention to homogeneous labor, I am able to understand the impact of such a consideration on issues of optimal policy and potential equilibria. …
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Small Firms in the U.S. Economy, Three Essays
… constructs a dynamic, computable model with heterogeneous agents and endogenous default in which entrepreneurs weigh a firm's current and future returns and uses it to match the SSBF data. The third chapter uses the cross-section of data contained in the same survey to estimate the survival …
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Risk Sharing and Asset Returns in Stochastic Endogenous Growth Models
… of a stochastic endogenous growth model with heterogeneous agents and incomplete markets are analyzed. The asset market structure of the economy is incomplete in the sense that households in the model economy can trade shares in a stock company and a risk free bond in financial markets, but …
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Bankruptcy and Transaction Costs in General Financial Models
… models are characterized by two main features: heterogeneous agents and financial frictions. The ability of these models to be applied in the fields of macroeconomics and finance in the future depends upon the frontier research in general equilibrium today. Over the past 20 years, research in …
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Pensions reforms, redistribution and welfare
… a standard overlapping generations model with heterogeneous agents to address the various questions. The role of the pensions system varies between consumption smoothing and redistribution, or a combination of both. The provision of pensions, whether universal or targeted, has a signficant …
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Essays on Regional Economic Growth in China
… in China using a continuous OLG model with heterogeneous agents. An agent determines his migration duration optimally based on his ability, urban/rural wage gap, and urban/rural services price differential. The model features the role of urban/rural services price differential that generates …
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Essays on Network formation games
… We specify the Nash equilibria in the case of heterogeneous agents. We find 3 possible Nash equilibrium configurations: Utopia network, positive assortative matching, and disassortative matching. We derive the specific conditions under which they arise in a Nash equilibrium. In Chapter 3, we …
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Adaptive Planning in Changing Policies and Environments
… to different tasks is a staple of learning, as agents aim to generalize across different situations. Specifically, it is important for agents to adapt to the policies of other agents around them. In swarm settings, multi-agent sports settings, or other team-based environments, agents learning …
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Energy-Constrained UAV-UGV Cooperative Systems: A Bilevel Framework for Routing in Multi-Agent Teams
… framework ensures efficient coordination between heterogeneous agents while minimizing mission time and energy consumption. Evaluation across multiple scenarios demonstrates a 10–30% reduction in mission time and a 15–50% reduction in energy usage compared to UGV-only baselines. To validate the …
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