Contribution to a conference proceedings FZJ-2024-00243

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Hearts Gym: Learning Reinforcement Learning as a Team Event

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2023
PMLR

Third Teaching Machine Learning and Artificial Intelligence Workshop at ECML, GrenobleGrenoble, France, 19 Sep 2022 - 23 Sep 20222022-09-192022-09-23 PMLR 207, : 3rd ed., 16-21 () [10.34734/FZJ-2024-00243]

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Abstract: Amidst the COVID-19 pandemic, the authors of this paper organized a Reinforcement Learning (RL) course for a graduate school in the field of data science. We describe the strategy and materials for creating an exciting learning experience despite the ubiquitous Zoom fatigue and evaluate the course qualitatively. The key organizational features are a focus on a competitive hands-on setting in teams, supported by a minimum of lectures providing the essential background on RL. The practical part of the course revolved around Hearts Gym, an RL environment for the card game Hearts that we developed as an entry-level tutorial to RL. Participants were tasked with training agents to explore reward shaping and other RL hyperparameters. For a final evaluation, the agents of the participants competed against each other.


Contributing Institute(s):
  1. Jülich Supercomputing Center (JSC)
  2. Modellierung von Energiesystemen (IEK-10)
  3. Biotechnologie (IBG-1)
Research Program(s):
  1. 5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511) (POF4-511)
  2. HDS LEE - Helmholtz School for Data Science in Life, Earth and Energy (HDS LEE) (HDS-LEE-20190612) (HDS-LEE-20190612)

Appears in the scientific report 2023
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IEK > IEK-10
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 Datensatz erzeugt am 2024-01-08, letzte Änderung am 2024-07-12


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