Gym-preCICE：用于主动流控制的强化学习环境（英文版）

英文标题：Gym-preCICE: Reinforcement Learning Environments for Active Flow Control中文摘要：本文介绍了一个基于 Gymnasium API 和开源耦合库 preCICE 的 RL 框架 Gym-preCICE，用于处理多物理量主动流控工程应用。该框架提供了一种设计 RL 环境和应用 RL 算法的方式。英文摘要：Active flow control (AFC) involves manipulating fluid flow over time toachieve a desired performance or efficiency. AFC, as a sequential optimisationtask, can benefit from utilising Reinforcement Learning (RL) for dynamicoptimisation. In this work, we introduce Gym-preCICE, a Python adapter fullycompliant w