Search Results for author: Panagiotis Lymperopoulos

Found 5 papers, 3 papers with code

Concept Wikification for COVID-19

1 code implementation EMNLP (NLP-COVID19) 2020 Panagiotis Lymperopoulos, Haoling Qiu, Bonan Min

In this paper, we address the problem of concept wikification for COVID-19, which is to automatically recognize mentions of concepts related to COVID-19 in text and resolve them into Wikipedia titles.

NovelGym: A Flexible Ecosystem for Hybrid Planning and Learning Agents Designed for Open Worlds

no code implementations7 Jan 2024 Shivam Goel, Yichen Wei, Panagiotis Lymperopoulos, Matthias Scheutz, Jivko Sinapov

To this end, we introduce NovelGym, a flexible and adaptable ecosystem designed to simulate gridworld environments, serving as a robust platform for benchmarking reinforcement learning (RL) and hybrid planning and learning agents in open-world contexts.

Autonomous Vehicles Benchmarking +1

NovelCraft: A Dataset for Novelty Detection and Discovery in Open Worlds

2 code implementations23 Jun 2022 Patrick Feeney, Sarah Schneider, Panagiotis Lymperopoulos, Li-Ping Liu, Matthias Scheutz, Michael C. Hughes

In order for artificial agents to successfully perform tasks in changing environments, they must be able to both detect and adapt to novelty.

Novelty Detection

Integrating Planning, Execution and Monitoring in the presence of Open World Novelties: Case Study of an Open World Monopoly Solver

no code implementations9 Jul 2021 Sriram Gopalakrishnan, Utkarsh Soni, Tung Thai, Panagiotis Lymperopoulos, Matthias Scheutz, Subbarao Kambhampati

The game of monopoly is an adversarial multi-agent domain where there is no fixed goal other than to be the last player solvent, There are useful subgoals like monopolizing sets of properties, and developing them.

Forecasting COVID-19 Counts At A Single Hospital: A Hierarchical Bayesian Approach

1 code implementation14 Apr 2021 Alexandra Hope Lee, Panagiotis Lymperopoulos, Joshua T. Cohen, John B. Wong, Michael C. Hughes

We consider the problem of forecasting the daily number of hospitalized COVID-19 patients at a single hospital site, in order to help administrators with logistics and planning.

Time Series Time Series Analysis

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