Update README.md

README.md

@@ -21,7 +21,7 @@ Paris Noah's Ark Lab consists of 3 research teams that cover the following topic
 
 ### Preprints
 
-   - [Zero-shot Model-based Reinforcement Learning using Large Language Models](https://huggingface.co/papers/2410.11711):  disentangled in-context learning for multivariate time series forecasting with LLMs, and an application to model-based reinforcement learning.
+   - [Zero-shot Model-based Reinforcement Learning using Large Language Models](https://huggingface.co/papers/2410.11711): disentangled in-context learning for multivariate time series forecasting and model-based RL.
    - [Large Language Models as Markov Chains](https://huggingface.co/papers/2410.02724):  theoretical insights on their generalization and convergence properties.
    - [A systematic study comparing hyperparameter optimization engines on tabular data](https://balazskegl.medium.com/navigating-the-maze-of-hyperparameter-optimization-insights-from-a-systematic-study-6019675ea96c)