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Journal Article
GymProxy: A lightweight Python wrapper for seamless integration of standalone simulators into Gymnasium environments
- Authors
- Sae Hyong Park, Seungjae Shin, Namseok Ko, Taeyeon Kim, Dongman Lee
- Issue Date
- 2025-10
- Citation
- Computers and Electrical Engineering, v.127, no.Part B, pp.1-16
- ISSN
- 0045-7906
- Publisher
- Elsevier
- Language
- English
- Type
- Journal Article
- Abstract
- Reinforcement learning (RL) often relies on extensive simulation-based training to refine agent behavior, as real-world errors can have significant repercussions. Integrating agents into existing standalone simulators typically requires code modifications and careful implementation of the synchronization mechanisms that ensure the agent and simulator execute in a turn-taking manner with proper data exchanges, which is often delicate and error-prone. In this paper, we introduce GymProxy, a lightweight and user-friendly open-source wrapper library designed to simplify the integration of standalone simulators into Gymnasium, the leading framework for developing RL environments. GymProxy provides simple and abstracted application programming interfaces (APIs) for seamlessly integrating an external simulator with the Gymnasium environment while handling synchronization internally. With GymProxy, developers can quickly build a custom Gymnasium environment that wraps existing standalone simulators with minimal implementation effort, eliminating the need to manually program complex synchronization logic.
- KSP Keywords
- Agent behavior, Application programming interface, Real-world, Reinforcement learning(RL), Simulation-Based Training, Synchronization Mechanism, Turn-taking, User-friendly, open source, seamless integration
This work is distributed under the term of Creative Commons License (CCL)
(CC BY)
(CC BY)
