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DOI: 10.4230/LIPIcs.TIME.2024.5
Open the Chests: An Environment for Activity Recognition and Sequential Decision Problems Using Temporal Logic

Authors: Ivelina Stoyanova, Nicolas Museux, Sao Mai Nguyen, and David Filliat

Published in: LIPIcs, Volume 318, 31st International Symposium on Temporal Representation and Reasoning (TIME 2024)

Abstract
This article presents Open the Chests, a novel benchmark environment designed for simulating and testing activity recognition and reactive decision-making algorithms. By leveraging temporal logic, Open the Chests offers a dynamic, event-driven simulation platform that illustrates the complexities of real-world systems. The environment contains multiple chests, each representing an activity pattern that an interacting agent must identify and respond to by pressing a corresponding button. The agent must analyze sequences of asynchronous events generated by the environment to recognize these patterns and make informed decisions. With the aim of theoretically grounding the environment, the Activity-Based Markov Decision Process (AB-MDP) is defined, allowing to model the context-dependent interaction with activities. Our goal is to propose a robust tool for the development, testing, and bench-marking of algorithms that is illustrative of realistic scenarios and allows for the isolation of specific complexities in event-driven environments.
Cite as

Ivelina Stoyanova, Nicolas Museux, Sao Mai Nguyen, and David Filliat. Open the Chests: An Environment for Activity Recognition and Sequential Decision Problems Using Temporal Logic. In 31st International Symposium on Temporal Representation and Reasoning (TIME 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 318, pp. 5:1-5:19, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@InProceedings{stoyanova_et_al:LIPIcs.TIME.2024.5,
  author =	{Stoyanova, Ivelina and Museux, Nicolas and Nguyen, Sao Mai and Filliat, David},
  title =	{{Open the Chests: An Environment for Activity Recognition and Sequential Decision Problems Using Temporal Logic}},
  booktitle =	{31st International Symposium on Temporal Representation and Reasoning (TIME 2024)},
  pages =	{5:1--5:19},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-349-2},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{318},
  editor =	{Sala, Pietro and Sioutis, Michael and Wang, Fusheng},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.TIME.2024.5},
  URN =		{urn:nbn:de:0030-drops-212128},
  doi =		{10.4230/LIPIcs.TIME.2024.5},
  annote =	{Keywords: Event-Based Decision Making, Activity Recognition, Temporal Logic, Reinforcement Learning, Dynamic Systems, Complex Event Processing, Benchmark Environment, Real-Time Simulation}
}
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