Published May 8, 2026 | Version v0.3.0
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eta-ctrl

  • 1. Technical University of Darmstadt

Description

A modular framework for rolling-horizon operational control using a Gym-compatible agent–environment abstraction. The framework enables integration of optimization-based agents (Pyomo), reinforcement learning agents (Stable-Baselines3), heuristic search methods, and rule-based controllers. Environments can be instantiated from FMI-compliant simulations, mathematical models, or real-world system interfaces.

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PTW-TUDa/eta-ctrl-v0.3.0.zip

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