Search Results for author: Pouria Ramazi

Found 12 papers, 2 papers with code

An early warning indicator trained on stochastic disease-spreading models with different noises

1 code implementation24 Mar 2024 Amit K. Chakraborty, Shan Gao, Reza Miry, Pouria Ramazi, Russell Greiner, Mark A. Lewis, Hao Wang

The timely detection of disease outbreaks through reliable early warning signals (EWSs) is indispensable for effective public health mitigation strategies.

Navigate Time Series

Can machine learning predict citizen-reported angler behavior?

no code implementations7 Feb 2024 Julia S. Schmid, Sean Simmons, Mark A. Lewis, Mark S. Poesch, Pouria Ramazi

Prediction of angler behaviors, such as catch rates and angler pressure, is essential to maintaining fish populations and ensuring angler satisfaction.

Management

Environmental-Impact Based Multi-Agent Reinforcement Learning

no code implementations6 Nov 2023 Farinaz Alamiyan-Harandi, Pouria Ramazi

To promote cooperation and strengthen the individual impact on the collective outcome in social dilemmas, we propose the Environmental-impact Multi-Agent Reinforcement Learning (EMuReL) method where each agent estimates the "environmental impact" of every other agent, that is, the difference in the current environment state compared to the hypothetical environment in the absence of that other agent.

Multi-agent Reinforcement Learning reinforcement-learning

Kindness in Multi-Agent Reinforcement Learning

no code implementations6 Nov 2023 Farinaz Alamiyan-Harandi, Mersad Hassanjani, Pouria Ramazi

Experimental results in the Cleanup and Harvest environments show that training based on the KindMARL method enabled the agents to earn 89\% (resp.

counterfactual Counterfactual Reasoning +3

From Discrete to Continuous Best-Response Dynamics: Discrete Fluctuations Do not Scale with the Population Size

no code implementations3 Nov 2023 Azadeh Aghaeeyan, Pouria Ramazi

This implies that the reported perpetual fluctuations in the finite discrete dynamics of coordinators and anticoordinators do not scale as the population size do.

Revealing the unseen: Likely half of the Americans relied on others' experience when deciding on taking the COVID-19 vaccine

no code implementations19 Apr 2023 Azadeh Aghaeeyan, Pouria Ramazi, Mark A. Lewis

Efficient coverage for newly developed vaccines requires knowing which groups of individuals will accept the vaccine immediately and which will take longer to accept or never accept.

Modeling and Forecasting COVID-19 Cases using Latent Subpopulations

no code implementations9 Feb 2023 Roberto Vega, Zehra Shah, Pouria Ramazi, Russell Greiner

Here, we propose two new methods to model the number of people infected with COVID-19 over time, each as a linear combination of latent sub-populations -- i. e., when we do not know which person is in which sub-population, and the only available observations are the aggregates across all sub-populations.

From policy to prediction: Forecasting COVID-19 dynamics under imperfect vaccination

no code implementations15 Jan 2022 Xiunan Wang, Hao Wang, Pouria Ramazi, Kyeongah Nah, Mark Lewis

Recently, we created a method in forecasting the daily number of confirmed cases of infectious diseases by combining a mechanistic ordinary differential equation (ODE) model for infectious classes and a generalized boosting machine learning model (GBM) for predicting how public health policies and mobility data affect the transmission rate in the ODE model [WWR+].

A hypothesis-free bridging of disease dynamics and non-pharmaceutical policies

no code implementations8 Dec 2021 Xiunan Wang, Hao Wang, Pouria Ramazi, Kyeongah Nah, Mark Lewis

Typically, a hypothesis is made on the form of the transmission rate with respect to time.

Boosting propagule transport models with individual-specific data from mobile apps

1 code implementation29 May 2021 Samuel M. Fischer, Pouria Ramazi, Sean Simmons, Mark S. Poesch, Mark A. Lewis

The results indicate that anglers' local preferences and their tendency to revisit previous destinations reduce the number of long inter-waterbody trips potentially dispersing whirling disease.

Management

Evolutionary Matrix-Game Dynamics Under Imitation in Heterogeneous Populations

no code implementations4 Jun 2020 Yiheng Fu, Pouria Ramazi

Decision-making individuals often imitate their highest-earning fellows rather than optimize their own utilities, due to bounded rationality and incomplete information.

Decision Making

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