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0/eval_sequence_10000.csv

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README.md

@@ -52,3 +52,9 @@ Each seed is contained in its own subdirectory. You can load a model using:
 ```python
 from stable_baselines3 import PPO
 model = PPO.load("0/ckpt_latest.zip")
+```
+
+## References
+
+* [Plug-and-Play Benchmarking of Reinforcement Learning Algorithms for Large-Scale Flow Control](http://arxiv.org/abs/2601.15015)
+* [FluidGym GitHub Repository](https://github.com/safe-autonomous-systems/fluidgym)