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A Model-Driven Approach for Developing Families of Reinforcement Learning Environments

Year: 2026

Type: conference-paper

Source: ACM/IEEE International Conference on Model Driven Engineering Languages and Systems (MODELS)

DOI: 10.1145/3822455.3830332

Authors: Xiaoran Liu, Istvan David

Institution: McMaster University

Topic: Reinforcement Learning in Robotics

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funder: Natural Sciences and Engineering Research Council of Canada

Award: G7837765857

OpenAlex ID: W7212322383

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Cites: 56

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